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The Science of Machine Learning, Part 1 PDF

212 Pages·31 MB·English
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by Shubhodip Sasmal| 212 pages| 31| English

About The Science of Machine Learning, Part 1

The book titled “The Science of Machine Learning Part 1” serves as a comprehensive guide for both beginners and experienced practitioners in the field of Machine Learning. Covering a wide range of topics, the book provides a thorough introduction to the fundamentals of Machine Learning, as well as advanced techniques and emerging trends. In the first chapter, readers are introduced to the concept of Machine Learning, its historical context, and its importance and applications in various domains. The chapter also explores different types of Machine Learning and addresses key terminologies, challenges, and limitations associated with the field. The second chapter delves into the mathematical foundations essential for understanding Machine Learning algorithms. Topics covered include linear algebra, probability and statistics, calculus, optimization techniques, information theory basics, and numerical methods and algorithms.

Detailed Information

Author:Shubhodip Sasmal
Pages:212
Language:English
File Size:31
Format:PDF
Price:FREE
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