Foundation Of Machine Learning Pdf eBook provides a comprehensive introduction to machine learning for researchers and students in the field, This book covers all the important topics in machine learning while giving the conceptual tools and theoretical basis required for the analysis and justification of algorithms.
It also outlines several significant aspects of these algorithms and their application.
The book is meant for researchers and students in machine learning, statistics, and other related areas, which can be used as a textbook for graduate and advanced undergraduate classes in machine learning or as a reference text for a research seminar.
The first 3 chapters of the book lay the theoretical basis for the following chapters.
Other chapters are primarily self-contained, except chapter 5, which introduces some extensively used concepts in later ones. a set of exercises is presented at the end of every chapter, with complete solutions given separately.
There are many books for different specialized areas, but these books do not constitute a discussion of other crucial topics in a general manner.
For example, books about kernel methods do not discuss other essential topics such as ranking, reinforcement learning, boosting, online learning, or learning automata.
Download Foundation Of Machine Learning Pdf eBook
Get this Pdf eBook to learn all the basics to advance level concepts and theories of machine learning in systematic approach that ensure effective learning for the beginners.
All the important aspects realted to Machine Learning are discussed in this book comprehensively.
Click on the button below to get Foundation Of Machine Learning Pdf download to your devices:
All the important information and details about this Machine Learning Pdf eBook are shared below:
|Author:||Merhyar Mohri, Afshin Rostamizadeh, Ameet Talwalkar|
|Number Of Pages:||427 Pages|
|Pdf File Size:||3.39 Mb|