Table of Contents

Chapter 1: Step 1 – Getting Started with Python.- Chapter 2 : Step 2 – Introduction to Machine Learning.- Chapter 3: Step 3 – Fundamentals of Machine Learning.- Chapter 4: Step 4 – Model Diagnosis and Tuning.- Chapter 5: Step 5 – Text Mining, NLP AND Recommender Systems.- Chapter 6: Step 6 – Deep and Reinforcement Learning.- Chapter 7 : Conclusion.

About the Author

Manohar Swamynathan is a data science practitioner and an avid programmer, with over 14+ years of experience in various data science related areas that include data warehousing, Business Intelligence (BI), analytical tool development, ad-hoc analysis, predictive modeling, data science product development, consulting, formulating strategy and executing analytics program. He's had a career covering life cycle of data across different domains such as US mortgage banking, retail/e-commerce, insurance, and industrial IoT. He has a bachelor's degree with a specialization in physics, mathematics, computers, and a master's degree in project management. He's currently living in Bengaluru, the silicon valley of India.