This book is in very good condition; no remainder marks. It does have some cover shelfwear and edge wear. Inside pages are clean. ; 8.5 X 0.33 X 11 inches; 152 pages.

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Bibliographic Details

Title: Math for Machine Learning Open Doors to Data Science and Artificial Intelligence
Publisher: Createspace Independent Publishing Platform
Publication Date: 2018
Language: English
ISBN 10: 172282381X
ISBN 13: 9781722823818
Binding: Paperback
Condition: Very Good

About this title

Synopsis

From self-driving cars and recommender systems to speech and face recognition, machine learning is the way of the future. Would you like to learn the mathematics behind machine learning to enter the exciting fields of data science and artificial intelligence? There aren't many resources out there that give simple detailed examples and that walk you through the topics step by step.This book not only explains what kind of math is involved and the confusing notation, it also introduces you directly to the foundational topics in machine learning. This book will get you started in machine learning in a smooth and natural way, preparing you for more advanced topics and dispelling the belief that machine learning is complicated, difficult, and intimidating.

About the Author

Richard Han earned his PhD in Mathematics from the University of California, Riverside. He has created many successful online math courses ranging from linear algebra and discrete math to machine learning.

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Mahler Books
TX, U.S.A.

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