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Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

Machine Learning - an Introduction

"Machine Learning (CS229) is the most popular course at Stanford. Why? Because, increasingly, machine learning is eating the world." - Laura Hamilton, Forbes

Machine learning(ML) techniques are being applied in a variety of fields, and data scientists are being sought after in many different industries. With machine learning, we identify the processes through which we gain knowledge that is not readily apparent from data in order to make decisions. Applications of machine learning techniques may vary greatly, and are found in disciplines as diverse as medicine, finance, and advertising.

In this chapter, we'll present different machine learning approaches, techniques, some of their applications to real-world ...

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Publisher Resources

ISBN: 9781789348460