Table of Contents

  1. Introduction to Machine Learning & Mathematical preliminaries
  2. Classification
  3. Regression
  4. Clustering
  5. Deep Learning & Neural Networks
  6. Miscellaneous Unsupervised Learning
  7. Text Mining
  8. Machine Learning models in production
  9. Case Studies & Data Science Storytelling