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How Machine Learning Works

by Paolo Perrotta

Machine learning is amazing… and intimidating. How can computers do magical things like understand images or text? This training for programmers will dispel the magic and help you to build your own computer vision program, starting from scratch.

What you'll learn

Machine learning is fascinating, but those math-heavy tutorials can be intimidating, even for a programmer. In this course, How Machine Learning Works, you’ll learn the basics of machine learning from code. First, you will have a look at supervised learning, and you'll quickly move to coding your first learning program, and see how to improve that program line by line. Then, you'll discover how to improve that program line by line. Finally, you'll see how to write this program by yourself, without resorting to obscure machine learning libraries. By the end of the course, you'll have a working computer vision program that recognizes handwritten characters, and you'll have practical knowledge of the foundational ideas of machine learning.

Table of contents

Course Overview

About the author

Paolo Perrotta is the author of "Programming Machine Learning" and "Metaprogramming Ruby". He has hundreds of articles, conference speeches and training deliveries under his belt. He developed software in domains ranging from automotive to healthcare, large-scale web sites, and computer games.

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