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Machine Learning
{"id":583109345324,"title":"Machine Learning with Python","handle":"machine-learning-with-python","description":"\u003cp\u003eAuthor: Abhishek Vijayvargia\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eISBN: 9789386551931\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003ePages: 267, \u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eEdition: 1st 2018 Paperback\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eTerritory: Worldwide \u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e*It includes the CD which has Machine Learning Algorithms of chapters in the Python notebook.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis book provides the concept of machine learning with mathematical explanation and programming examples. Every chapter starts with the fundamentals of the technique and working example on the real-world dataset. Along with the advice on applying algorithms, each technique is provided with advantages and disadvantages to the data.\u003c\/p\u003e\n\u003cp\u003eIn this book, we provide code examples in python. Python is the most suitable and worldwide accepted language for this. First, it is a free and open source. It contains very good support from the open community. It contains a lot of libraries, so you don’t need to code everything. Also, it is scalable for a large amount of data and suitable for big data technologies.\u003c\/p\u003e\n\u003cp\u003eThis book:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eCovers all major areas in Machine Learning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eTopics are discussed with graphical explanations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eComparison of different Machine Learning methods to solve any problem.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eMethods to handle real-world noisy data before applying any Machine Learning algorithm.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003ePython code example for each concept discussed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eJupyter notebook scripts are provided with the dataset used to test and try the algorithms\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003cstrong\u003e\u003cspan\u003eContents\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eIntroduction to Machine Learning \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eUnderstanding Python \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eFeature Engineering \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eData Visualisation\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eBasic and Advanced Regression\u003cspan\u003e techniques\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eClassification \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eUn Supervised Learning\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eText Analysis\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eNeural Network and Deep Learning \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eRecommendation System \u003cspan\u003e \u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eTime Series Analysis \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e","published_at":"2018-02-20T12:05:35+05:30","created_at":"2018-02-20T12:09:26+05:30","vendor":"Abhishek Vijayvargia","type":"Book","tags":["Machine Learning","Machine learning with Python","Python book"],"price":29700,"price_min":29700,"price_max":29700,"available":true,"price_varies":false,"compare_at_price":33000,"compare_at_price_min":33000,"compare_at_price_max":33000,"compare_at_price_varies":false,"variants":[{"id":7161876545580,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"9789388511315","requires_shipping":true,"taxable":false,"featured_image":null,"available":true,"name":"Machine Learning with Python","public_title":null,"options":["Default Title"],"price":29700,"weight":0,"compare_at_price":33000,"inventory_quantity":199,"inventory_management":"shopify","inventory_policy":"deny","barcode":"9789386551931"}],"images":["\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/Machine_Learning_with_Python_copy.jpg?v=1524485640"],"featured_image":"\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/Machine_Learning_with_Python_copy.jpg?v=1524485640","options":["Title"],"content":"\u003cp\u003eAuthor: Abhishek Vijayvargia\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eISBN: 9789386551931\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003ePages: 267, \u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eEdition: 1st 2018 Paperback\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eTerritory: Worldwide \u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e*It includes the CD which has Machine Learning Algorithms of chapters in the Python notebook.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis book provides the concept of machine learning with mathematical explanation and programming examples. Every chapter starts with the fundamentals of the technique and working example on the real-world dataset. Along with the advice on applying algorithms, each technique is provided with advantages and disadvantages to the data.\u003c\/p\u003e\n\u003cp\u003eIn this book, we provide code examples in python. Python is the most suitable and worldwide accepted language for this. First, it is a free and open source. It contains very good support from the open community. It contains a lot of libraries, so you don’t need to code everything. Also, it is scalable for a large amount of data and suitable for big data technologies.\u003c\/p\u003e\n\u003cp\u003eThis book:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eCovers all major areas in Machine Learning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eTopics are discussed with graphical explanations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eComparison of different Machine Learning methods to solve any problem.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eMethods to handle real-world noisy data before applying any Machine Learning algorithm.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003ePython code example for each concept discussed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eJupyter notebook scripts are provided with the dataset used to test and try the algorithms\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003cstrong\u003e\u003cspan\u003eContents\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eIntroduction to Machine Learning \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eUnderstanding Python \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eFeature Engineering \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eData Visualisation\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eBasic and Advanced Regression\u003cspan\u003e techniques\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eClassification \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eUn Supervised Learning\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eText Analysis\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eNeural Network and Deep Learning \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eRecommendation System \u003cspan\u003e \u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eTime Series Analysis \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e"}
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Machine Learning with Python
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Author: Abhishek Vijayvargia ISBN: 9789386551931 Pages: 267, Edition: 1st 2018 Paperback Territory: Worldwide *It includes the CD which has Machine Learning Algorithms...
{"id":1755111686188,"title":"Data Science with Machine Learning -Python Interview Questions","handle":"data-science-with-machine-learning-python-interview-questions","description":"\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003ePrice: Rs. 249\/-\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Author: Vishwanathan Narayanan \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eISBN# 9789388176637\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Pages : 144, Edition: 1st\/ 2019, \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eWeight: 210gm, Binding \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003ePaperback\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Length: 23x15x1.8 cm,\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eTerritory: Worldwide \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book “Data science with Machine learning- Python interview questions is for people who wish to comprehend the vast ocean of the above fields just before the interview.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book is a true companion of people aspiring for data science and machine learning and provides answers to most asked questions and provides easy to remember and presentable answers.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book will remain ever youthful as the concept described in the book is not likely to change with immediately.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e \u003cb class=\"ydp2bc97560yiv4867456548\"\u003eKey features:\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul type=\"disc\" class=\"ydp2bc97560yiv4867456548\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eEasy to learn, step by step explanation of examples.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eQuestions related to core\/basic Python, Excel, basic and advanced statical are included.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e Covers numpy, scipy, sklearn and pandas to a greater detail with a good number of examples\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cb class=\"ydp2bc97560yiv4867456548\"\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e\n\u003cul class=\"ydp2bc97560yiv4867456548\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eData Science Basic Questions and Terms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003ePython Programming Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eNumpy Interview Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003ePandas Interview Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eScipy and its Applications\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eMatplotlib Samples to Remember\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eStatistics with Excel Sheet\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"ydp2bc97560yiv4867456548\"\u003e\u003cb class=\"ydp2bc97560yiv4867456548\"\u003eAuthor:\u003c\/b\u003e\u003c\/div\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eMr. Vishwanathan has twenty years of hard code experience in software industry spanning across many multinational companies and domains. \u003c\/span\u003ePlaying with data to derive meaningful insights has been his domain and that is what took him towards data science and machine learning. Teaching is his passion and he is proud to have taught more than a thousand students across the globe.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"ydp2bc97560yiv4867456548MailOutline\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\"This book delivers what it promises, covering machine learning and data science from the interview perspective. Most of these questions are regularly asked in an interview and the answers are to the point. Appreciate for this gold mine for students, professional and Teachers.\"\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoListParagraph\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e-\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003eKaustubh Panchal 11 years exp in ML, Big Data and data science as Solution Architect.\u003c\/span\u003e\u003c\/p\u003e","published_at":"2019-03-29T11:15:17+05:30","created_at":"2019-03-29T11:24:52+05:30","vendor":"Vishwanathan Narayanan","type":"Book","tags":["Data Science","Interview Questions","Machine learning with Python"],"price":22500,"price_min":22500,"price_max":22500,"available":true,"price_varies":false,"compare_at_price":24900,"compare_at_price_min":24900,"compare_at_price_max":24900,"compare_at_price_varies":false,"variants":[{"id":14326531129388,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"9789388176637","requires_shipping":true,"taxable":false,"featured_image":null,"available":true,"name":"Data Science with Machine Learning -Python Interview Questions","public_title":null,"options":["Default Title"],"price":22500,"weight":210,"compare_at_price":24900,"inventory_quantity":147,"inventory_management":"shopify","inventory_policy":"continue","barcode":"9789388176637"}],"images":["\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/9789388176637.jpg?v=1554444923"],"featured_image":"\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/9789388176637.jpg?v=1554444923","options":["Title"],"content":"\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003ePrice: Rs. 249\/-\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Author: Vishwanathan Narayanan \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eISBN# 9789388176637\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Pages : 144, Edition: 1st\/ 2019, \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eWeight: 210gm, Binding \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003ePaperback\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Length: 23x15x1.8 cm,\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eTerritory: Worldwide \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book “Data science with Machine learning- Python interview questions is for people who wish to comprehend the vast ocean of the above fields just before the interview.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book is a true companion of people aspiring for data science and machine learning and provides answers to most asked questions and provides easy to remember and presentable answers.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book will remain ever youthful as the concept described in the book is not likely to change with immediately.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e \u003cb class=\"ydp2bc97560yiv4867456548\"\u003eKey features:\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul type=\"disc\" class=\"ydp2bc97560yiv4867456548\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eEasy to learn, step by step explanation of examples.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eQuestions related to core\/basic Python, Excel, basic and advanced statical are included.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e Covers numpy, scipy, sklearn and pandas to a greater detail with a good number of examples\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cb class=\"ydp2bc97560yiv4867456548\"\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e\n\u003cul class=\"ydp2bc97560yiv4867456548\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eData Science Basic Questions and Terms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003ePython Programming Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eNumpy Interview Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003ePandas Interview Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eScipy and its Applications\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eMatplotlib Samples to Remember\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eStatistics with Excel Sheet\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"ydp2bc97560yiv4867456548\"\u003e\u003cb class=\"ydp2bc97560yiv4867456548\"\u003eAuthor:\u003c\/b\u003e\u003c\/div\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eMr. Vishwanathan has twenty years of hard code experience in software industry spanning across many multinational companies and domains. \u003c\/span\u003ePlaying with data to derive meaningful insights has been his domain and that is what took him towards data science and machine learning. Teaching is his passion and he is proud to have taught more than a thousand students across the globe.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"ydp2bc97560yiv4867456548MailOutline\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\"This book delivers what it promises, covering machine learning and data science from the interview perspective. Most of these questions are regularly asked in an interview and the answers are to the point. Appreciate for this gold mine for students, professional and Teachers.\"\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoListParagraph\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e-\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003eKaustubh Panchal 11 years exp in ML, Big Data and data science as Solution Architect.\u003c\/span\u003e\u003c\/p\u003e"}
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Data Science with Machine Learning -Python Interview Questions
Rs. 249
Rs. 225
Price: Rs. 249/- Author: Vishwanathan Narayanan ISBN# 9789388176637 Pages : 144, Edition: 1st/ 2019, Weight: 210gm, Binding Paperback Length: 23x15x1.8 cm,...
{"id":1863901478956,"title":"A Practical Approach for Machine Learning and Deep Learning Algorithms","handle":"a-practical-approach-for-machine-learning-and-deep-learning-algorithms","description":"\u003cul\u003e\n\u003cli\u003e\u003cb\u003ePrice: Rs. 360\/-\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eISBN: 9789388511131\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003ePages: 280\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003e Edition: Ist\/2019 Paperback\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eWeight: 424gm\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv\u003e\n\u003cbr\u003e\u003cb\u003eDESCRIPTION \u003c\/b\u003e\u003cbr\u003eMachine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of machine learning easy and give basic programs in MATLAB right from the installation part. Although the real-time application of machine learning is endless, however, the basic concepts and algorithms are discussed using MATLAB language so that not only graduate students but also researchers are benefitted from it.\u003cbr\u003e \u003cbr\u003e \u003cbr\u003e\u003cb\u003eKEY FEATURES\u003c\/b\u003e\u003cbr\u003e· Machine learning in MATLAB using basic concepts and algorithms.\u003cbr\u003e· Algorithms of machine learning in a simple language using MATLAB code.\u003cbr\u003e· Deriving and accessing of data in MATLAB and next, pre-processing and preparation of data.\u003cbr\u003e· Machine learning workflow for health monitoring.\u003cbr\u003e· The neural network domain and implementation in MATLAB with explicit explanation of code and results.\u003cbr\u003e· How the predictive model can be improved using MATLAB?\u003cbr\u003e· MATLAB code for an algorithm implementation, rather than for mathematical formula.\u003cbr\u003e· Machine learning workflow for health monitoring.\u003cbr\u003e \u003cbr\u003e \u003cbr\u003e\u003cb\u003eWHAT WILL YOU LEARN \u003c\/b\u003e\u003cbr\u003e· Pre-requisites to machine learning\u003cbr\u003e· Finding natural patterns in data\u003cbr\u003e· Building classification methods\u003cbr\u003e· Data pre-processing in Python\u003cbr\u003e· Building regression models\u003cbr\u003e· Creating neural networks\u003cbr\u003e· Deep learning\u003cbr\u003e \u003cbr\u003e \u003cbr\u003e\u003cb\u003eWHO THIS BOOK IS FOR\u003c\/b\u003e\u003cbr\u003eThe book is basically meant for graduate and research students who find the algorithms of machine learning difficult to implement. We have touched all basic algorithms of machine learning in detail with a practical approach. Primarily, beginners will find this book more effective as the chapters are subdivided in a manner that they find the building and implementation of algorithms in MATLAB interesting and easy at the same time.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eABOUT THE AUTHOR\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eAbhishek Kumar Pandey \u003c\/b\u003eis pursuing his Doctorate in computer science and done M.Tech in Computer Sci. \u0026amp; Engineering. He has been working as an Assistant professor of Computer Science at Aryabhatt Engineering College and Research center, Ajmer and also visiting faculty in Government University MDS Ajmer. He has total Academic teaching experience of more than eight years with more than 50 publications in reputed National and International Journals. His research area includes- Artificial intelligence, Image processing, Computer Vision, Data Mining, Machine Learning. He has been in International Conference Committee of many International conferences. He has been the reviewer for IEEE and Inder science Journal. He has authored 4 books published internationally and 7 edited book.. He is also member of various National and International professional societies in the field of engineering \u0026amp; research like Member of IAENG (International Association of Engineers), Associate Member of IRED (Institute of Research Engineers and Doctors), Associate Member of IAIP (International Association of Innovation Professionals), Member of ICSES (International Computer Science and Engineering Society), Life Member of ISRD (International Society for research \u0026amp; Development), Member of ISOC (Internet Society).He has got Sir CV Raman life time achievement national award for 2018 in young researcher and faculty Category. He is serving as an Associate Editor of Global Journal on Innovation, Opportunities and Challenges in Applied Artificial Intelligence and Machine Learning.\u003cbr\u003e \u003cbr\u003e\u003cb\u003ePramod Singh Rathore \u003c\/b\u003eis pursuing his doctorate in Computer Science \u0026amp; engineering and done M. Tech. He has been working as the Assistant professor of Computer Science at Aryabhatt Engineering College and Research centre, Ajmer and visiting faculty in Government University MDS Ajmer. He has been edited and authored many books with Wiley, Taylor \u0026amp; Francis Eureka group, CRC USA. He has total Academic teaching experience of more than eight years with more than 40 publications as Research papers and Chapters in reputed National and International E-SCI SCOPUS. He has done five edited book. His research area includes machine learning, NS2, Computer Network, Mining, and DBMS. He has been serving in editorial and advisory committee of Global journal group, Eureka Group of Journals .He has been member of various National and International professional societies in the field of engineering \u0026amp; research like Member of IAENG (International Association of Engineers). \u003cbr\u003e \u003cbr\u003e\u003cb\u003eDr. S. Balamurugan\u003c\/b\u003e is the Head of Research and Development, Quants IS \u0026amp; CS, India. Formerly, he was the Director of Research and Development at Mindnotix Technologies, India. He has authored\/co-authored 33 books and has 200 publications in various international journals and conferences to his credit. He was awarded Three Post-Doctoral Degrees- Doctor of Science(D.Sc.) degree and Two Doctor of Letters(D.Litt) degrees for his significant contribution to research and development in Engineering and is the recipient of the Best Director Award, 2018. His biography is listed in “World Book of Researchers” 2018, Oxford, UK and in “Marquis WHO’S WHO” 2018 issue, New Jersey, USA. He carried out a healthcare consultancy project for VGM Hospitals between 2013 and 2016, and his current research projects include “Women Empowerment using IoT”, “Health-Aware Smart Chair”, “Advanced Brain Simulators for Assisting Physiological Medicine”, “Designing Novel Health Bands” and “IoT -based Devices for Assisting Elderly People”. His professional activities include roles as Associate Editor, editorial board member and\/or reviewer for more than 100 international journals and conferences. He has been an invited as Chief Guest\/Resource Person\/Keynote Plenary Speaker in many reputed Universities and Colleges His research interests include Augmented Reality, the Internet of Things, Big Data Analytics, Cloud Computing, and Wearable Computing. He is a life member of the ACM, ISTE, and CSI.\u003cbr\u003eEditorial Review\u003c\/div\u003e","published_at":"2019-06-05T12:15:19+05:30","created_at":"2019-06-05T12:23:35+05:30","vendor":"Abhishek Kumar Pandey, Pramod Singh Rathore, Dr. S Balamurugan","type":"Book","tags":["BPB","Deep Learning","Machine Learning","Matlab","Neural Networks","Python","Regression Model"],"price":32400,"price_min":32400,"price_max":32400,"available":true,"price_varies":false,"compare_at_price":36000,"compare_at_price_min":36000,"compare_at_price_max":36000,"compare_at_price_varies":false,"variants":[{"id":14790009159724,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"9789388511131","requires_shipping":true,"taxable":false,"featured_image":null,"available":true,"name":"A Practical Approach for Machine Learning and Deep Learning Algorithms","public_title":null,"options":["Default Title"],"price":32400,"weight":0,"compare_at_price":36000,"inventory_quantity":97,"inventory_management":"shopify","inventory_policy":"deny","barcode":"9789388511131"}],"images":["\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/9789388511131.jpg?v=1559718282"],"featured_image":"\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/9789388511131.jpg?v=1559718282","options":["Title"],"content":"\u003cul\u003e\n\u003cli\u003e\u003cb\u003ePrice: Rs. 360\/-\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eISBN: 9789388511131\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003ePages: 280\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003e Edition: Ist\/2019 Paperback\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eWeight: 424gm\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv\u003e\n\u003cbr\u003e\u003cb\u003eDESCRIPTION \u003c\/b\u003e\u003cbr\u003eMachine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of machine learning easy and give basic programs in MATLAB right from the installation part. Although the real-time application of machine learning is endless, however, the basic concepts and algorithms are discussed using MATLAB language so that not only graduate students but also researchers are benefitted from it.\u003cbr\u003e \u003cbr\u003e \u003cbr\u003e\u003cb\u003eKEY FEATURES\u003c\/b\u003e\u003cbr\u003e· Machine learning in MATLAB using basic concepts and algorithms.\u003cbr\u003e· Algorithms of machine learning in a simple language using MATLAB code.\u003cbr\u003e· Deriving and accessing of data in MATLAB and next, pre-processing and preparation of data.\u003cbr\u003e· Machine learning workflow for health monitoring.\u003cbr\u003e· The neural network domain and implementation in MATLAB with explicit explanation of code and results.\u003cbr\u003e· How the predictive model can be improved using MATLAB?\u003cbr\u003e· MATLAB code for an algorithm implementation, rather than for mathematical formula.\u003cbr\u003e· Machine learning workflow for health monitoring.\u003cbr\u003e \u003cbr\u003e \u003cbr\u003e\u003cb\u003eWHAT WILL YOU LEARN \u003c\/b\u003e\u003cbr\u003e· Pre-requisites to machine learning\u003cbr\u003e· Finding natural patterns in data\u003cbr\u003e· Building classification methods\u003cbr\u003e· Data pre-processing in Python\u003cbr\u003e· Building regression models\u003cbr\u003e· Creating neural networks\u003cbr\u003e· Deep learning\u003cbr\u003e \u003cbr\u003e \u003cbr\u003e\u003cb\u003eWHO THIS BOOK IS FOR\u003c\/b\u003e\u003cbr\u003eThe book is basically meant for graduate and research students who find the algorithms of machine learning difficult to implement. We have touched all basic algorithms of machine learning in detail with a practical approach. Primarily, beginners will find this book more effective as the chapters are subdivided in a manner that they find the building and implementation of algorithms in MATLAB interesting and easy at the same time.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eABOUT THE AUTHOR\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eAbhishek Kumar Pandey \u003c\/b\u003eis pursuing his Doctorate in computer science and done M.Tech in Computer Sci. \u0026amp; Engineering. He has been working as an Assistant professor of Computer Science at Aryabhatt Engineering College and Research center, Ajmer and also visiting faculty in Government University MDS Ajmer. He has total Academic teaching experience of more than eight years with more than 50 publications in reputed National and International Journals. His research area includes- Artificial intelligence, Image processing, Computer Vision, Data Mining, Machine Learning. He has been in International Conference Committee of many International conferences. He has been the reviewer for IEEE and Inder science Journal. He has authored 4 books published internationally and 7 edited book.. He is also member of various National and International professional societies in the field of engineering \u0026amp; research like Member of IAENG (International Association of Engineers), Associate Member of IRED (Institute of Research Engineers and Doctors), Associate Member of IAIP (International Association of Innovation Professionals), Member of ICSES (International Computer Science and Engineering Society), Life Member of ISRD (International Society for research \u0026amp; Development), Member of ISOC (Internet Society).He has got Sir CV Raman life time achievement national award for 2018 in young researcher and faculty Category. He is serving as an Associate Editor of Global Journal on Innovation, Opportunities and Challenges in Applied Artificial Intelligence and Machine Learning.\u003cbr\u003e \u003cbr\u003e\u003cb\u003ePramod Singh Rathore \u003c\/b\u003eis pursuing his doctorate in Computer Science \u0026amp; engineering and done M. Tech. He has been working as the Assistant professor of Computer Science at Aryabhatt Engineering College and Research centre, Ajmer and visiting faculty in Government University MDS Ajmer. He has been edited and authored many books with Wiley, Taylor \u0026amp; Francis Eureka group, CRC USA. He has total Academic teaching experience of more than eight years with more than 40 publications as Research papers and Chapters in reputed National and International E-SCI SCOPUS. He has done five edited book. His research area includes machine learning, NS2, Computer Network, Mining, and DBMS. He has been serving in editorial and advisory committee of Global journal group, Eureka Group of Journals .He has been member of various National and International professional societies in the field of engineering \u0026amp; research like Member of IAENG (International Association of Engineers). \u003cbr\u003e \u003cbr\u003e\u003cb\u003eDr. S. Balamurugan\u003c\/b\u003e is the Head of Research and Development, Quants IS \u0026amp; CS, India. Formerly, he was the Director of Research and Development at Mindnotix Technologies, India. He has authored\/co-authored 33 books and has 200 publications in various international journals and conferences to his credit. He was awarded Three Post-Doctoral Degrees- Doctor of Science(D.Sc.) degree and Two Doctor of Letters(D.Litt) degrees for his significant contribution to research and development in Engineering and is the recipient of the Best Director Award, 2018. His biography is listed in “World Book of Researchers” 2018, Oxford, UK and in “Marquis WHO’S WHO” 2018 issue, New Jersey, USA. He carried out a healthcare consultancy project for VGM Hospitals between 2013 and 2016, and his current research projects include “Women Empowerment using IoT”, “Health-Aware Smart Chair”, “Advanced Brain Simulators for Assisting Physiological Medicine”, “Designing Novel Health Bands” and “IoT -based Devices for Assisting Elderly People”. His professional activities include roles as Associate Editor, editorial board member and\/or reviewer for more than 100 international journals and conferences. He has been an invited as Chief Guest\/Resource Person\/Keynote Plenary Speaker in many reputed Universities and Colleges His research interests include Augmented Reality, the Internet of Things, Big Data Analytics, Cloud Computing, and Wearable Computing. He is a life member of the ACM, ISTE, and CSI.\u003cbr\u003eEditorial Review\u003c\/div\u003e"}
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A Practical Approach for Machine Learning and Deep Learning Algorithms
Rs. 360
Rs. 324
Price: Rs. 360/- ISBN: 9789388511131 Pages: 280 Edition: Ist/2019 Paperback Weight: 424gm DESCRIPTION Machine learning is mostly sought in the research...
{"id":3877196431404,"title":"Natural Computing with Python","handle":"natural-computing-with-python","description":"\u003cul\u003e\n\u003cli\u003e\u003cb\u003eISBN: 9789388511612\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003ePages: 278\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eWeight: 480gm\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEdition: Ist\/2019\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDESCRIPTION\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eLearn to implement genetic and evolutionary algorithms to solve problems in a pythonic way.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003cspan\u003eNatural Computing is the field of research inspired by nature, that allows the development of new algorithms to solve complex problems, leads to the synthesis of natural models, and may result in the design of new computing systems. This book exactly aims to educate you with practical examples on topics of importance associated with the research field of Natural computing.\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e \u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eThe initial few chapters will quickly walk you through Neural Networks while describing deep learning architectures such as CNN, RNN, and AutoEncoders using Keras. As you progress further, you’ll gain understanding to develop a genetic algorithm to solve traveling salesman problem, implement swarm intelligence techniques using the SwarmPackagePy and Cellular Automata techniques such as Game of Life, Langton's ant, etc. \u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e \u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eThe latter half of the book will introduce you to the world of Fractals such as such as the Cantor Set and the Mandelbrot Set, develop a quantum program with the QiSkit tool that runs on a real quantum computing platform, namely the IBM Q Machine and a Python simulation of the Adleman experiment that showed for the first time the possibility of performing computations at the molecular level.\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e \u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTAGLINE\u003c\/b\u003e\u003cbr\u003e\u003cspan\u003eA step-by-step guide to learn and solve complex computational problems with Nature Inspired algorithms.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eKEY FEATURES\u003c\/b\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Artificial Neural Networks\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Deep Learning models using Keras\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Quantum Computers and Programming\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Genetic Algorithms, CNN and RNNs\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Swarm Intelligence Systems\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Reinforcement Learning using OpenAI\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Artificial Life\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• DNA computing\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Fractals\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003cb\u003eWHAT WILL YOU LEARN\u003c\/b\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Mastering Artificial Neural Networks\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Developing Artificial Intelligence systems \u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Resolving complex problems with Genetic Programming and Swarm intelligence algorithms\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Programming Quantum Computers\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Exploring the mathematical world of fractals\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Simulating complex systems by Cellular Automata\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Understanding the basics of DNA computation\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003e\u003cbr\u003eWHO THIS BOOK IS FOR \u003c\/b\u003e\u003cbr\u003e\u003cspan\u003eThis book is for all science enthusiasts, in particular, who want to understand what are the links between computer sciences and natural systems. Interested readers should have good skills in math and python programming along with some basic knowledge of physics and biology. Although some knowledge of the topics covered in the book will be helpful, it is not essential to have worked with the tools covered in the book.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCONTENTS\u003c\/b\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Neural Networks\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Deep Learning\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Genetic Programming\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Swarm Intelligence\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Cellular Automata\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Fractals\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Quantum Computing\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• DNA Computing\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eABOUT THE AUTHOR\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eGiancarlo Zaccone\u003c\/b\u003e\u003cspan\u003e has over ten years of experience in managing research projects in scientific and industrial areas.\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eHe is a Software and Systems Engineer Consultant at European Space Agency (ESTEC).\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eGiancarlo holds a master’s degree in Physics and an advanced master’s degree in Scientific Computing at La Sapienza of Rome.\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e \u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eLinkedIn Profile: \u003c\/span\u003e\u003cspan\u003ehttps:\/\/www.linkedin.com\/in\/giancarlozaccone\/\u003c\/span\u003e\u003c\/p\u003e","published_at":"2019-06-22T10:30:17+05:30","created_at":"2019-06-22T10:44:28+05:30","vendor":"Giancarlo Zaccone","type":"Book","tags":["Artificial intelligence","Artificial Neural Networks","BPB","Deep Learning Models","DNA Computers","Fractals","Genetic Algorithms","Keras","Natural Computing","Python","Quantum Algorithms","Quantum Computers","Scientific Computing","TensorFlow"],"price":44900,"price_min":44900,"price_max":44900,"available":true,"price_varies":false,"compare_at_price":49900,"compare_at_price_min":49900,"compare_at_price_max":49900,"compare_at_price_varies":false,"variants":[{"id":29216036749356,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"9789388511612","requires_shipping":true,"taxable":false,"featured_image":null,"available":true,"name":"Natural Computing with Python","public_title":null,"options":["Default Title"],"price":44900,"weight":480,"compare_at_price":49900,"inventory_quantity":100,"inventory_management":"shopify","inventory_policy":"deny","barcode":"9789388511612"}],"images":["\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/9789388511612_-b.jpg?v=1561180472"],"featured_image":"\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/9789388511612_-b.jpg?v=1561180472","options":["Title"],"content":"\u003cul\u003e\n\u003cli\u003e\u003cb\u003eISBN: 9789388511612\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003ePages: 278\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eWeight: 480gm\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEdition: Ist\/2019\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDESCRIPTION\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eLearn to implement genetic and evolutionary algorithms to solve problems in a pythonic way.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003cspan\u003eNatural Computing is the field of research inspired by nature, that allows the development of new algorithms to solve complex problems, leads to the synthesis of natural models, and may result in the design of new computing systems. This book exactly aims to educate you with practical examples on topics of importance associated with the research field of Natural computing.\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e \u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eThe initial few chapters will quickly walk you through Neural Networks while describing deep learning architectures such as CNN, RNN, and AutoEncoders using Keras. As you progress further, you’ll gain understanding to develop a genetic algorithm to solve traveling salesman problem, implement swarm intelligence techniques using the SwarmPackagePy and Cellular Automata techniques such as Game of Life, Langton's ant, etc. \u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e \u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eThe latter half of the book will introduce you to the world of Fractals such as such as the Cantor Set and the Mandelbrot Set, develop a quantum program with the QiSkit tool that runs on a real quantum computing platform, namely the IBM Q Machine and a Python simulation of the Adleman experiment that showed for the first time the possibility of performing computations at the molecular level.\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e \u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTAGLINE\u003c\/b\u003e\u003cbr\u003e\u003cspan\u003eA step-by-step guide to learn and solve complex computational problems with Nature Inspired algorithms.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eKEY FEATURES\u003c\/b\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Artificial Neural Networks\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Deep Learning models using Keras\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Quantum Computers and Programming\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Genetic Algorithms, CNN and RNNs\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Swarm Intelligence Systems\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Reinforcement Learning using OpenAI\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Artificial Life\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• DNA computing\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Fractals\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003cb\u003eWHAT WILL YOU LEARN\u003c\/b\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Mastering Artificial Neural Networks\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Developing Artificial Intelligence systems \u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Resolving complex problems with Genetic Programming and Swarm intelligence algorithms\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Programming Quantum Computers\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Exploring the mathematical world of fractals\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Simulating complex systems by Cellular Automata\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Understanding the basics of DNA computation\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003e\u003cbr\u003eWHO THIS BOOK IS FOR \u003c\/b\u003e\u003cbr\u003e\u003cspan\u003eThis book is for all science enthusiasts, in particular, who want to understand what are the links between computer sciences and natural systems. Interested readers should have good skills in math and python programming along with some basic knowledge of physics and biology. Although some knowledge of the topics covered in the book will be helpful, it is not essential to have worked with the tools covered in the book.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCONTENTS\u003c\/b\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Neural Networks\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Deep Learning\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Genetic Programming\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Swarm Intelligence\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Cellular Automata\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Fractals\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Quantum Computing\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• DNA Computing\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eABOUT THE AUTHOR\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eGiancarlo Zaccone\u003c\/b\u003e\u003cspan\u003e has over ten years of experience in managing research projects in scientific and industrial areas.\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eHe is a Software and Systems Engineer Consultant at European Space Agency (ESTEC).\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eGiancarlo holds a master’s degree in Physics and an advanced master’s degree in Scientific Computing at La Sapienza of Rome.\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e \u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eLinkedIn Profile: \u003c\/span\u003e\u003cspan\u003ehttps:\/\/www.linkedin.com\/in\/giancarlozaccone\/\u003c\/span\u003e\u003c\/p\u003e"}
You may also like:
Natural Computing with Python
Rs. 499
Rs. 449
ISBN: 9789388511612 Pages: 278 Weight: 480gm Edition: Ist/2019 DESCRIPTION Learn to implement genetic and evolutionary algorithms to solve problems in...
{"id":3829435007020,"title":"AI \u0026 ML - Powering the Agents of Automation","handle":"ai-ml-powering-the-agents-of-automation","description":"\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cb\u003eISBN: 9789388511636\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003ePages: 242\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eWeight: 363gm\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEdition: Ist\/2019 Paperback\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003cb\u003eDESCRIPTION\u003c\/b\u003e\u003cbr\u003eDemystifying, IOT, Robots, ChatBots, RPA, Drones \u0026amp; Autonomous Cars- The new workforce led Digital Reinvention facilitated by AI \u0026amp; ML and secured through Blockchain\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003cdiv\u003eWe are faced with automatic machines and autonomous agents gradually replacing a lot of activities, hitherto have been carried out by humans. From airports to call centers, shop floors in the factory to accounting and finance departments in large businesses, we are finding increasing applications of AI \u0026amp; ML led automation.\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cbr\u003eMost of the time, the autonomous machines we interact with or work with, like the Robots, Drones, and Self-driving cars to evoke awe, inspiration \u0026amp; perplexity at the same time. They seem to be the tools only used by most technology empowered organizations and technology geeks.\u003cbr\u003eThe effort of this book is to go under the veil of all these automation agents, explain their benefits and expose the way they work by leveraging hardware and software powered by AI \u0026amp; ML as well. We expect the book to demystify these technologies to the learners in a reader-friendly manner without using too much of jargon, egging them to take the next step to develop a passion to follow and leverage these trends for their productivity and enhance their quality of life.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTAGLINE\u003c\/b\u003e\u003cbr\u003eLearn Why, What, Where, When Who and How behind the technologies of the AI \u0026amp; ML powering the Agents of Automation in a simple manner.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eKEY FEATURES\u003c\/b\u003e\u003cbr\u003e● Explore various trends of Automation impacting our lives today.\u003cbr\u003e● Explains the reasons behind the proliferation of the various bots and autonomous agents.\u003cbr\u003e● Explores the various areas being impacted by the use of these new workforce made of machines.\u003cbr\u003e● Examines the components that makeup Robots, Chatbots, Autonomous cars, and Drones.\u003cbr\u003e● Throws light on the various limitations and threats encountered by the Agents of Automation\u003cbr\u003e● Explores how, Blockchain can be used to protect IOT, Robots, Drones and Autonomous cars.\u003cbr\u003e● Throws light on the various tools used to build Robots, Chatbots and RPA.\u003cbr\u003e● Outlines the steps undertaken to manage while building projects to deploy the Agents of Automation.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWHAT WILL YOU LEARN\u003c\/b\u003e\u003cbr\u003eFrom this book, you will get a very good idea about the various agents of automation like IOT, Robots, Chatbots, and Robotic Process Automation, Drones and Autonomous cars. Why do we use these machines? Where do we use them? Where do we find their applications? What are the components that go into making of these machines? High-level knowledge on how we can build them and what are the advantages, disadvantages, risks and appropriate way to limit these risks.\u003cbr\u003e \u003cbr\u003e\u003cb\u003eWHO THIS BOOK IS FOR\u003c\/b\u003e\u003cbr\u003eThis book is for all the students and those passionate to get fundamental knowledge on various aspects of Disruptive technologies prevalent today like IOT, AI, ML, Blockchain, and Automation. \u003cbr\u003eEngineering students, CXOs in organizations, Government officials, Digital natives and the young generation of technology enthusiasts will find this book extremely interesting and informative.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCONTENTS\u003c\/b\u003e\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Introduction to Automated Personal Assistants: Past, Present \u0026amp; The Future\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Disruptive models led by digitization\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Machine Learning and Artificial Intelligence, The languages of Automation\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Internet Of Things, Industry 4.0 And Factories Of Tomorrow\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Robots\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Robotic Process Automation\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Drones\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Chatbots \u0026amp; Voice Assistants\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Autonomous Cars\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Artificial Intelligence \u0026amp; Automation Gone Wrong\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Blockchain-The New Generation Tool For Cybersecurity\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Blockchain As A Protector Of The Agents Of Automation\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Summary and Conclusion\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• CHAPTER WISE QUESTIONS\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• GLOSSARY: AGENTS OF AUTOMATION\u003cbr\u003e\u003cbr\u003e\u003cb\u003eABOUT THE AUTHOR\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003eDEEPIKA M\u003c\/strong\u003e\u003cbr\u003ehttp:\/\/linkedin.com\/in\/deepika2019\u003cbr\u003eDeepika is CCNA\/CCNP\/CCIE certified Computer Engineering graduate from VIT University, Vellore and a Cybersecurity professional with over 4 years’ experience in Networking \u0026amp; Cybersecurity from Cisco. She is an MBA in General Management with specialization in Finance, Marketing and Analytics (Trained in R \u0026amp; Python) from the Asia School of Business, Kuala Lumpur in collaboration with MIT Sloan. She is an R3 Corda certified Blockchain and Distributed Ledger Technology Evangelist, She is a scholarship candidate from Stanford GSB, for their Entrepreneur development program, Stanford, IGNITE.\u003cbr\u003e \u003cbr\u003e\u003cb\u003eVIJAY K. CUDDAPAH\u003c\/b\u003e\u003cbr\u003ehttp:\/\/linkedin.com\/in\/vijay-kumar-0706858\u003cbr\u003eWith a Masters in Business Management and B.Sc. in Computer Science, is responsible for Technology\/Functional Development and Strategic Planning in IOT, AI \u0026amp; Analytics organizations. He has 10 years’ experience in project development, deployment, and delivery. Experience in multiple areas with an emphasis on Analytics, Machine Learning, Information Technology, and Consultancy related Services. He is passionate about Drones and diverse technologies ranging from Analytics, Machine Learning, Simulation, Automation, Tools development, and Application Development across different verticals. He has significant experience in research methodology, design \u0026amp; conducting large scale surveys and analysis.\u003cbr\u003e \u003cbr\u003e\u003cb\u003eAMITENDRA SRIVASTAVA\u003c\/b\u003e\u003cbr\u003ehttp:\/\/linkedin.com\/in\/amitendra-srivastava-a5007844\u003cbr\u003eAmitendra holds a post-graduate diploma in business administration from ISCS Pune. He has more than 14 years of rich corporate experience in training delivery and analytics product development. He has worked with HDFC Bank, Redwood Associates, and Analytics Training Institute, He is extremely passionate about Analytics, Statistical concepts, Deep Learning \u0026amp; AI, Predictive modeling, Video Analytics \u0026amp; Autonomous vehicle technology.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eSRINIVAS MAHANKALI\u003c\/b\u003e\u003cbr\u003ehttp:\/\/linkedin.com\/in\/srini-ults\u003cbr\u003eSrinivas Mahankali is an IIT Madras and IIM Bangalore alumnus and heads Blockchain Center of Excellence at ULTS (ULCCS Group, Calicut, Kerala). He is Six Sigma certified, NCFM Level 2, Capital Markets certified and R3 Corda Certified professional. He is an author of the books, Blockchain- The Untold Story \u0026amp; also co-authored Successful Organizations in action. Blockchain the Untold Story is deemed to be the first book to be translated from English into Chinese by Artificial Engineering Bots.\u003c\/div\u003e\n\u003c\/div\u003e","published_at":"2019-06-15T11:53:23+05:30","created_at":"2019-06-15T12:10:02+05:30","vendor":"Deepika M, Vijay Cuddapah, Amitendra Srivastava, Srinivas Mahankali","type":"Book","tags":["Artificial intelligence","Automation","Autonomous Cars","Blockchain","Bots","BPB","Chatbots","Cyber security","DRONES","IIOT","IOT","Machine Learning","ROBOTS","Self-Driving Cars","Voice Assistants"],"price":31400,"price_min":31400,"price_max":31400,"available":true,"price_varies":false,"compare_at_price":34900,"compare_at_price_min":34900,"compare_at_price_max":34900,"compare_at_price_varies":false,"variants":[{"id":29074647646252,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"9789388511636","requires_shipping":true,"taxable":false,"featured_image":null,"available":true,"name":"AI \u0026 ML - Powering the Agents of Automation","public_title":null,"options":["Default Title"],"price":31400,"weight":363,"compare_at_price":34900,"inventory_quantity":95,"inventory_management":"shopify","inventory_policy":"deny","barcode":"9789388511636"}],"images":["\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/9789388511636.jpg?v=1560580806"],"featured_image":"\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/9789388511636.jpg?v=1560580806","options":["Title"],"content":"\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cb\u003eISBN: 9789388511636\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003ePages: 242\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eWeight: 363gm\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEdition: Ist\/2019 Paperback\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003cb\u003eDESCRIPTION\u003c\/b\u003e\u003cbr\u003eDemystifying, IOT, Robots, ChatBots, RPA, Drones \u0026amp; Autonomous Cars- The new workforce led Digital Reinvention facilitated by AI \u0026amp; ML and secured through Blockchain\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003cdiv\u003eWe are faced with automatic machines and autonomous agents gradually replacing a lot of activities, hitherto have been carried out by humans. From airports to call centers, shop floors in the factory to accounting and finance departments in large businesses, we are finding increasing applications of AI \u0026amp; ML led automation.\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cbr\u003eMost of the time, the autonomous machines we interact with or work with, like the Robots, Drones, and Self-driving cars to evoke awe, inspiration \u0026amp; perplexity at the same time. They seem to be the tools only used by most technology empowered organizations and technology geeks.\u003cbr\u003eThe effort of this book is to go under the veil of all these automation agents, explain their benefits and expose the way they work by leveraging hardware and software powered by AI \u0026amp; ML as well. We expect the book to demystify these technologies to the learners in a reader-friendly manner without using too much of jargon, egging them to take the next step to develop a passion to follow and leverage these trends for their productivity and enhance their quality of life.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTAGLINE\u003c\/b\u003e\u003cbr\u003eLearn Why, What, Where, When Who and How behind the technologies of the AI \u0026amp; ML powering the Agents of Automation in a simple manner.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eKEY FEATURES\u003c\/b\u003e\u003cbr\u003e● Explore various trends of Automation impacting our lives today.\u003cbr\u003e● Explains the reasons behind the proliferation of the various bots and autonomous agents.\u003cbr\u003e● Explores the various areas being impacted by the use of these new workforce made of machines.\u003cbr\u003e● Examines the components that makeup Robots, Chatbots, Autonomous cars, and Drones.\u003cbr\u003e● Throws light on the various limitations and threats encountered by the Agents of Automation\u003cbr\u003e● Explores how, Blockchain can be used to protect IOT, Robots, Drones and Autonomous cars.\u003cbr\u003e● Throws light on the various tools used to build Robots, Chatbots and RPA.\u003cbr\u003e● Outlines the steps undertaken to manage while building projects to deploy the Agents of Automation.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWHAT WILL YOU LEARN\u003c\/b\u003e\u003cbr\u003eFrom this book, you will get a very good idea about the various agents of automation like IOT, Robots, Chatbots, and Robotic Process Automation, Drones and Autonomous cars. Why do we use these machines? Where do we use them? Where do we find their applications? What are the components that go into making of these machines? High-level knowledge on how we can build them and what are the advantages, disadvantages, risks and appropriate way to limit these risks.\u003cbr\u003e \u003cbr\u003e\u003cb\u003eWHO THIS BOOK IS FOR\u003c\/b\u003e\u003cbr\u003eThis book is for all the students and those passionate to get fundamental knowledge on various aspects of Disruptive technologies prevalent today like IOT, AI, ML, Blockchain, and Automation. \u003cbr\u003eEngineering students, CXOs in organizations, Government officials, Digital natives and the young generation of technology enthusiasts will find this book extremely interesting and informative.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCONTENTS\u003c\/b\u003e\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Introduction to Automated Personal Assistants: Past, Present \u0026amp; The Future\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Disruptive models led by digitization\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Machine Learning and Artificial Intelligence, The languages of Automation\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Internet Of Things, Industry 4.0 And Factories Of Tomorrow\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Robots\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Robotic Process Automation\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Drones\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Chatbots \u0026amp; Voice Assistants\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Autonomous Cars\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Artificial Intelligence \u0026amp; Automation Gone Wrong\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Blockchain-The New Generation Tool For Cybersecurity\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Blockchain As A Protector Of The Agents Of Automation\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• Summary and Conclusion\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• CHAPTER WISE QUESTIONS\u003cbr\u003e\u003cspan class=\"Apple-tab-span\"\u003e \u003c\/span\u003e• GLOSSARY: AGENTS OF AUTOMATION\u003cbr\u003e\u003cbr\u003e\u003cb\u003eABOUT THE AUTHOR\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003eDEEPIKA M\u003c\/strong\u003e\u003cbr\u003ehttp:\/\/linkedin.com\/in\/deepika2019\u003cbr\u003eDeepika is CCNA\/CCNP\/CCIE certified Computer Engineering graduate from VIT University, Vellore and a Cybersecurity professional with over 4 years’ experience in Networking \u0026amp; Cybersecurity from Cisco. She is an MBA in General Management with specialization in Finance, Marketing and Analytics (Trained in R \u0026amp; Python) from the Asia School of Business, Kuala Lumpur in collaboration with MIT Sloan. She is an R3 Corda certified Blockchain and Distributed Ledger Technology Evangelist, She is a scholarship candidate from Stanford GSB, for their Entrepreneur development program, Stanford, IGNITE.\u003cbr\u003e \u003cbr\u003e\u003cb\u003eVIJAY K. CUDDAPAH\u003c\/b\u003e\u003cbr\u003ehttp:\/\/linkedin.com\/in\/vijay-kumar-0706858\u003cbr\u003eWith a Masters in Business Management and B.Sc. in Computer Science, is responsible for Technology\/Functional Development and Strategic Planning in IOT, AI \u0026amp; Analytics organizations. He has 10 years’ experience in project development, deployment, and delivery. Experience in multiple areas with an emphasis on Analytics, Machine Learning, Information Technology, and Consultancy related Services. He is passionate about Drones and diverse technologies ranging from Analytics, Machine Learning, Simulation, Automation, Tools development, and Application Development across different verticals. He has significant experience in research methodology, design \u0026amp; conducting large scale surveys and analysis.\u003cbr\u003e \u003cbr\u003e\u003cb\u003eAMITENDRA SRIVASTAVA\u003c\/b\u003e\u003cbr\u003ehttp:\/\/linkedin.com\/in\/amitendra-srivastava-a5007844\u003cbr\u003eAmitendra holds a post-graduate diploma in business administration from ISCS Pune. He has more than 14 years of rich corporate experience in training delivery and analytics product development. He has worked with HDFC Bank, Redwood Associates, and Analytics Training Institute, He is extremely passionate about Analytics, Statistical concepts, Deep Learning \u0026amp; AI, Predictive modeling, Video Analytics \u0026amp; Autonomous vehicle technology.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eSRINIVAS MAHANKALI\u003c\/b\u003e\u003cbr\u003ehttp:\/\/linkedin.com\/in\/srini-ults\u003cbr\u003eSrinivas Mahankali is an IIT Madras and IIM Bangalore alumnus and heads Blockchain Center of Excellence at ULTS (ULCCS Group, Calicut, Kerala). He is Six Sigma certified, NCFM Level 2, Capital Markets certified and R3 Corda Certified professional. He is an author of the books, Blockchain- The Untold Story \u0026amp; also co-authored Successful Organizations in action. Blockchain the Untold Story is deemed to be the first book to be translated from English into Chinese by Artificial Engineering Bots.\u003c\/div\u003e\n\u003c\/div\u003e"}
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AI & ML - Powering the Agents of Automation
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ISBN: 9789388511636 Pages: 242 Weight: 363gm Edition: Ist/2019 Paperback DESCRIPTIONDemystifying, IOT, Robots, ChatBots, RPA, Drones & Autonomous Cars- The...
