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Hands-on Machine Learning with JavaScript

You're reading from   Hands-on Machine Learning with JavaScript Solve complex computational web problems using machine learning

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788998246
Length 356 pages
Edition 1st Edition
Languages
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Author (1):
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Burak Kanber Burak Kanber
Author Profile Icon Burak Kanber
Burak Kanber
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Table of Contents (14) Chapters Close

Preface 1. Exploring the Potential of JavaScript FREE CHAPTER 2. Data Exploration 3. Tour of Machine Learning Algorithms 4. Grouping with Clustering Algorithms 5. Classification Algorithms 6. Association Rule Algorithms 7. Forecasting with Regression Algorithms 8. Artificial Neural Network Algorithms 9. Deep Neural Networks 10. Natural Language Processing in Practice 11. Using Machine Learning in Real-Time Applications 12. Choosing the Best Algorithm for Your Application 13. Other Books You May Enjoy

Who this book is for

This book is for experienced JS developers who want to get started with ML. In general, I will assume that you are a competent JS developer with little to no experience with ML or mathematics beyond what you would learn in high school. In terms of JS abilities, you should already be familiar with the basic concepts of algorithms, modular code, and data transformations. I also assume that you can read JS code and understand both the intent and the mechanism.

This book is not intended for novice programmers, though you still may be able to get something out of it. This book is also not intended for readers who are already comfortable with ML, as most of the content will be familiar to you—though there may be some small nuggets of wisdom that could be helpful to you in these pages.

This book is perfect for you if you want to step into the ML landscape but don't know where to start in a vast and confusing ecosystem. Whether you're looking to make a shift in your career or simply learning something new, I believe you will find this book helpful.

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