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OverviewFrom 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. Full Product DetailsAuthor: Richard HanPublisher: Richard Han Imprint: Richard Han Dimensions: Width: 21.60cm , Height: 0.80cm , Length: 27.90cm Weight: 0.372kg ISBN: 9780578512709ISBN 10: 057851270 Pages: 154 Publication Date: 12 July 2018 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsYour book is by far the best I've found for understanding the derivations of machine learning algorithms. I love that you don't skip steps and that you provide clear examples. --Robert H. """Your book is by far the best I've found for understanding the derivations of machine learning algorithms. I love that you don't skip steps and that you provide clear examples.""--Robert H." Author InformationTab Content 6Author Website:Countries AvailableAll regions |