Practical Machine Learning in JavaScript

TensorFlow.js for Web Developers

Authors: Gerard, Charlie

Free Preview
  • Move from basic web development into the field of machine learning
  • Incorporate the ethics of AI into your development considerations
  • Harness your existing skills with JavaScript to learn a new approach to development
see more benefits

Buy this book

eBook 26,99 €
price for Spain (gross)
  • ISBN 978-1-4842-6418-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 36,39 €
price for Spain (gross)
About this book

Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications. 

You’ll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your knowledge as a web developer, you’ll add a whole new field of development to your tool set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically. 

Machine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js—an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in JavaScript will help you stay relevant in the tech industry with new tools, trends, and best practices.

What You'll Learn
  • Use the JavaScript framework for ML
  • Build machine learning applications for the web
  • Develop dynamic and intelligent web content
Who This Book Is For

Web developers and who want a hands-on introduction to machine learning in JavaScript. A working knowledge of the JavaScript language is recommended. 


About the authors

Charlie Gerard is a Senior front-end developer at Netlify, a Google Developer Expert in Web Technologies, and a Mozilla Tech Speaker. She is passionate about exploring the possibilities of the web and spends her personal time building interactive prototypes using hardware, creative coding, and machine learning. She has been diving into ML in JavaScript for over a year and built a variety of projects. She’s excited to share what she’s learned and help more developers get started.

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook 26,99 €
price for Spain (gross)
  • ISBN 978-1-4842-6418-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 36,39 €
price for Spain (gross)

Services for this book

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Practical Machine Learning in JavaScript
Book Subtitle
TensorFlow.js for Web Developers
Authors
Copyright
2021
Publisher
Apress
Copyright Holder
Charlie Gerard
eBook ISBN
978-1-4842-6418-8
DOI
10.1007/978-1-4842-6418-8
Softcover ISBN
978-1-4842-6417-1
Edition Number
1
Number of Pages
XVI, 323
Number of Illustrations
110 b/w illustrations
Topics