Machine Learning with JavaScript

A definitive guide to creating intelligent web applications with the best of machine learning and javascript
About This Book
* Solve complex computational problems in browser with your favourite JavaScript.
* Teach your browser how to learn from rules using the power of machine learning.
* Get thorough understanding of the insightful discoveries on Web interface and programmatic API's of the rapidly developing frontend or backend javascript world of machine learning.
Who This Book Is For
This book appeals to JavaScript developers who want to make their JavaScript 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.
What You Will Learn
* Overview of the state of the art of machine learning
* Pre-processing of data: handling, cleaning, and preparation
* Mining and Pattern Extraction with Javascript
* Build your own model for classification, clustering, or prediction
* Understand which model is most appropriate for each type of problem
* Apply machine learning techniques in real world applications
* Understand how Javascript can be a powerful language for machine learning
In Detail
Over 20 years of existence, JavaScript has pushed beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars,etc. 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. Through the course of the 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.
By the end of this book, you'll gained practical hands-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 for your business.