Machine Learning

This book on Machine learning is designed as a textbook for undergraduate and postgraduate engineering and management students who opt for machine learning as their core or elective subject. The book provides comprehensive coverage of the fundamentals of machine learning. It is also useful for Engineering professionals and IT employees to understand the basics of machine learning.

Spread over 16 chapters, the book starts with an overview of machine learning and followed by a discussion on the need for understanding data and necessary mathematics. The book then discusses about the basics of learning theory, regression analysis, decision tree, decision rule-based classification algorithms. It provides introduction to Bayesian learning and Probabilistic graphic models. Important topics like support vector machines, clustering, reinforcement algorithms and genetic algorithms are discussed in depth. The book ends with the latest developments in deep learning.

The book strikes a perfect balance between theoretical and mathematical exposition, with several numerical examples, review questions, and Python programs.



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15 Replies to “Machine Learning”

  1. Respected Sir,
    Chapter 3, Chapter 4, Chapter 6, Chapter 7, Chapter 8, Chapter 9, Chapter 10, and Chapter 12 are missing from the lecture notes webpage. If you can provide them, it would be very helpful for us.

    Regards
    Dr. S. Sarkar

  2. Respected Sir,
    I purchased a copy of the book and found it to be extremely helpful
    I am a student preparing for exams. For it I need to access the solution manual of this book. However, However oxford press doesnt allow students to access the solution manual I kindly request that you upload the solution manual or mail it to me at 20bee064@nith.ac.in
    It would be immensely helpful
    Thank you

  3. Respected Sir,
    Chapter 3, Chapter 4, Chapter 6, Chapter 7, Chapter 8, Chapter 9, Chapter 10, and Chapter 12 are missing from the lecture notes webpage. If you can provide them, it would be very helpful for us.

    Regards
    Dr. Ranjith K C

  4. Respected Sir,

    Chapter 3, 4, 6, 7, 8, 9, 10 and 12 are missing from the lecture notes webpage. If you can provide them, it would be very helpful for us.

    Regards
    Dr. Ranjith K C

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