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Practical Machine Learning in JavaScript - by Charlie Gerard (Paperback)

Name: Practical Machine Learning in JavaScript - by Charlie Gerard (Paperback)
Brand: Apress
SKU: 83021215
Price: 30.49 USD
Availability: InStock

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Details

Highlights

Build machine learning web applications without having to learn a new language.
About the Author: Charlie Gerard is a Senior front-end developer at Netlify, a Google Developer Expert in Web Technologies, and a Mozilla Tech Speaker.
323 Pages
Computers + Internet, Artificial Intelligence

Description

Book Synopsis

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.

From the Back Cover

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 already honed skills as a web developer, you'll add a whole new field of development to your skill 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. Get started in machine learning with web technologies.

You will:

Use the JavaScript framework for ML
Build machine learning applications for the web
Develop dynamic and intelligent web content

About the Author

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.

Specifications

Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .71 Inches (D)

Weight: 1.05 Pounds

Suggested Age: 22 Years and Up

Number of Pages: 323

Genre: Computers + Internet

Sub-Genre: Artificial Intelligence

Publisher: Apress

Theme: General

Format: Paperback

Author: Charlie Gerard

Language: English

Street Date: November 17, 2020

TCIN: 83021215

UPC: 9781484264171

Item Number (DPCI): 247-28-1810

Origin: Made in the USA or Imported

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Shipping & Returns

Shipping details

Estimated ship dimensions: 0.71 inches length x 6.14 inches width x 9.21 inches height

Estimated ship weight: 1.05 pounds

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