Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence

Author:   Richard Han
Publisher:   Richard Han
ISBN:  

9780578512709


Pages:   154
Publication Date:   12 July 2018
Format:   Paperback
Availability:   In stock   Availability explained
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Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence


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Overview

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.

Full Product Details

Author:   Richard Han
Publisher:   Richard Han
Imprint:   Richard Han
Dimensions:   Width: 21.60cm , Height: 0.80cm , Length: 27.90cm
Weight:   0.372kg
ISBN:  

9780578512709


ISBN 10:   057851270
Pages:   154
Publication Date:   12 July 2018
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

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.


"""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."


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