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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

To get the most out of this book

If you haven't programmed in JS in a while, it would be best for you to give yourself a refresher before you get started. In particular, the examples in this book will use ES6/ES2015 syntax; I will give you a tour of the new syntax in the first chapter, but you may also want to become familiar with it on your own.

If you don't have Node.js installed yet, you'll want to install that now. The examples in this book were written using Node.js version 9.6.0, though I expect most of the examples to work for any Node.js version greater than 8 and for Node.js version 10 as well.

You will not need much education in math to get through this book, but I assume that you paid attention to your high school math courses. If you don't remember much probability, statistics, or algebra, you may want to refresh yourself on those topics, as they are prevalent in ML. While I have tried my best to avoid deep dives into advanced mathematical concepts, I will indeed have to present some in this book so that you at least get a level of comfort with math and the willingness to research some select mathematical concepts on your own.

Download the example code files

You can download the example code files for this book from your account at www.packtpub.com. If you purchased this book elsewhere, you can visit www.packtpub.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

  1. Log in or register at www.packtpub.com.
  2. Select the SUPPORT tab.
  3. Click on Code Downloads & Errata.
  4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

  • WinRAR/7-Zip for Windows
  • Zipeg/iZip/UnRarX for Mac
  • 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Hands-On-Machine-Learning-with-JavaScript. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Use the command line, your favorite IDE, or your file browser to create a directory somewhere on your machine called MLinJSBook, with a subdirectory called Ch1-Ex1."

A block of code is set as follows:

var items = [1, 2, 3 ];
for (var index in items) {
var item = items[index];
…
}

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

['landscape.jpeg', 'lily.jpeg', 'waterlilies.jpeg'].forEach(filename => {
console.log("Decolorizing " + filename + '...');
decolorize('./files/' + filename)
.then(() => console.log(filename + " decolorized"));
});

Any command-line input or output is written as follows:

$ node --version
V9.4.0

Bold: Indicates a new term, an important word, or words that you see onscreen.

Warnings or important notes appear like this.
Tips and tricks appear like this.
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