Machine Learning For Dummies 2nd Edition
Pdf Book Name: Machine Learning For Dummies 2nd Edition
Author: John Mueller, Luca Massaron
Publisher: Wiley
ISBN-10, 13: 9781119724063, 1119724066
Year: 2021
Pages: 467 Pages
Language: English
File size: 18 MB
File format: PDF,EPUB
Machine Learning For Dummies 2nd Edition Pdf Book Description:
The term machine learning has all sorts of meanings attached to it today, especially after Hollywood (and other movie studios) have gotten into the picture. Films such as Ex Machina have tantalized the imaginations of moviegoers the world over and made machine learning into all sorts of things that it really isn’t. Of course, most of us have to live in the real world, where machine learning actually does perform an incredible array of tasks that have nothing to do with androids that can pass the Turing Test (fooling their makers into believing they’re human). Machine Learning For Dummies, 2nd Edition gives you a view of machine learning in the real world and exposes you to the amazing feats you really can perform using this technology. Even though the tasks that you perform using machine learning may seem a bit mundane when compared to the movie version, by the time you finish this book, you realize that these mundane tasks have the power to impact the lives of everyone on the planet in nearly every aspect of their daily lives.
In short, machine learning is an incredible technology just not in the way that some people have imagined. This second edition of the book contains a significant number of changes, not the least of which is that it’s using pure Python code for the examples now upon request from our readers. You can still download R versions of every example, which is actually better than before when only some of the examples were available in R. In addition, the book contains new topics, including an entire chapter that discusses machine learning ethics. Machines and humans learn in entirely different ways, which is why the first part of this book is essential to your understanding of machine learning. Machines perform routine tasks at incredible speeds, but still require humans to do the actual thinking. The second part of this book is about getting your system set up to use the various Python coding examples. The two setups work for desktop systems using Windows, Mac OS, or Linux, or mobile devices that have access to a Google Colab compatible browser. This book is designed for novice and professional alike. You can either read this book from cover to cover or look up topics and treat the book as a reference guide. However, we’ve made some assumptions about your level of knowledge when we put the book together. You should already know how to use your device and work with the operating system that supports it. You also know how to perform tasks like downloading files and installing applications. You can interact with Internet well enough to locate the resources you need to work with the book. You know how to work with archives, such as the .zip file format. Finally, a basic knowledge of math is helpful.
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