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Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers 1st ed. Edition

by Charlie Gerard (Author)
4.4 4.4 out of 5 stars 22 ratings
See all formats and editions
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  1. ISBN-10
    1484264177
  2. ISBN-13
    978-1484264171
  3. Edition
    1st ed.
  4. Publication date

    2020

    November 17

  5. Language

    EN

    English

  6. Dimensions

    6.1 x 0.8 x 9.3

    inches

  7. Length

    340

    Pages

  8. See all details
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Editorial Reviews

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.

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.

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.

Product details

  • Publisher ‏ : ‎ Apress; 1st ed. edition (November 17, 2020)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 340 pages
  • ISBN-10 ‏ : ‎ 1484264177
  • ISBN-13 ‏ : ‎ 978-1484264171
  • Item Weight ‏ : ‎ 1.06 pounds
  • Dimensions ‏ : ‎ 6.1 x 0.77 x 9.25 inches
  • Customer Reviews:
    4.4 4.4 out of 5 stars 22 ratings

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Customer reviews

4.4 out of 5 stars
4.4 out of 5
22 global ratings

Top reviews from the United States

Martin Patino
5.0 out of 5 stars A Easy and great read to learn
Reviewed in the United States on August 15, 2023
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Anthony Foster
5.0 out of 5 stars A good intro to ML basics in javascript
Reviewed in the United States on December 21, 2020
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7 people found this helpful
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