Table of Contents

  1. Introduction to AI and Python
  2. Machine Learning and Its Algorithms
  3. Classification and Regression Using Supervised Learning
  4. Clustering Using Unsupervised Learning
  5. Solving Problems with Logic Programming
  6. Natural Language Processing with Python
  7. Implementing Speech Recognition with Python
  8. Implementing Artificial Neural Network (ANN) with Python
  9. Implementing Reinforcement Learning with Python
  10. Implementing Deep Learning and Convolutional Neural Network