Hands-on Machine Learning with JavaScript

Bring the power of neural networks to create intelligent web applications

JavaScript has pushed 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 just makes your browsers smarter than ever before with the ability to learn patterns and reproduce them to become a part of innovative products and applications.

This book presents various avenues of Machine Learning in a practical and objective way and implementing them using the JavaScript language. Predicting behaviors, analyzing feelings, grouping data, building neural models, are some of the skills you will gain from this book. With 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. You will also learn how to work with deep neural networks and teach your application to gain insights from data. You will gain practical hands-on evaluating and implementing the right model as per your use.

By the end of this book, you will learn to implement different JS libraries such as naturalnode, brain, harthur, classifier, and much more to design smarter applications for your business.

This book appeals to data scientists, machine learning practitioners and JavaScript developers who want to implement machine learning to make their applications smarter and gain insightful information from the data. JavaScript developers who wish to enter the field of machine learning without switching to another language will also find this book quite useful. Working knowledge of JavaScript language is expected to get the most out of the book.