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Data Exploration

The single most important thing for a beginner to know about machine learning (ML) is that machine learning is not magic. Taking a large dataset and naively applying a neural network to it will not automatically give you earth-shaking insights. ML is built on top of sound and familiar mathematical principles, such as probability, statistics, linear algebra, and vector calculus—voodoo not included (though some readers may liken vector calculus to voodoo)!

We will be covering the following topics in this chapter:

An overview
Variable identification
Cleaning of data
Transformation
Types of analysis
Missing values treatment
Outlier treatment

Key benefits

• Solve complex computational problems in browser with JavaScript

• Teach your browser how to learn from rules using the power of machine learning

• Understand discoveries on web interface and API in machine learning

Description

In over 20 years of existence, JavaScript has been pushing beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars, and more. Today, with the added advantage of machine learning research and support for JS libraries, JavaScript makes your browsers smarter than ever with the ability to learn patterns and reproduce them to become a part of innovative products and applications. Hands-on Machine Learning with JavaScript presents various avenues of machine learning in a practical and objective way, and helps implement them using the JavaScript language. Predicting behaviors, analyzing feelings, grouping data, and building neural models are some of the skills you will build from this book. You will learn how to train your machine learning models and work with different kinds of data. During this journey, you will come across use cases such as face detection, spam filtering, recommendation systems, character recognition, and more. Moreover, you will learn how to work with deep neural networks and guide your applications to gain insights from data. By the end of this book, you'll have gained hands-on knowledge on evaluating and implementing the right model, along with choosing from different JS libraries, such as NaturalNode, brain, harthur, classifier, and many more to design smarter applications.

Who is this book for?

This book is for you if you are a JavaScript developer who wants to implement machine learning to make applications smarter, gain insightful information from the data, and enter the field of machine learning without switching to another language. Working knowledge of JavaScript language is expected to get the most out of the book.

What you will learn

• Get an overview of state-of-the-art machine learning

• Understand the pre-processing of data handling, cleaning, and preparation

• Learn Mining and Pattern Extraction with JavaScript

• Build your own model for classification, clustering, and prediction

• Identify the most appropriate model for each type of problem

• Apply machine learning techniques to real-world applications

• Learn how JavaScript can be a powerful language for machine learning

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Hands-on Machine Learning with JavaScript

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Nadia Nov 11, 2019

I bought this book for my brother who lives abroad, he got it today and he is so pleased with it.Thank you

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Kristian Hristov Sep 03, 2020

This is a good book to get a very basic and general idea of ML and how to do it with JS. Unfortunately, the author focused too much on generic information like introduction to JS, and general software development practices like how to pick an algorithm and an architecture. In my opinion having dedicated those pages to explaining the difference between activation functions, more practical examples with advanced concepts like neural networks, would have made a much better book.

Hands-on Machine Learning with JavaScript: Solve complex computational web problems using machine learning

What do you get with Print?

Hands-on Machine Learning with JavaScript

Data Exploration

An overview

Feature identification

Cleaning and preparing data

Summary

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Description

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What you will learn

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What do you get with Print?

Contact Details

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Table of Contents

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