Practical Machine Learning in JavaScript

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Sprache: Englisch

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Beschreibung

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.
Yoüll 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, yoüll 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.

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.

Über den Autor

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.

Zusammenfassung

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

Inhaltsverzeichnis

Chapter 1: The Basics of Machine Learning.- Chapter 2: Tensorflow.js.- Chapter 3: Building an Image Classifier.- Chapter 4:.- Text Classification and Sentiment Analysis.- Chapter 5: Experimenting with Inputs.- Chapter 6: Machine Learning in Production.- Chapter 7: Bias in Machine Learning.

Details

Erscheinungsjahr:	2020
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	340
Inhalt:	xvi 323 S. 110 s/w Illustr. 323 p. 110 illus.
ISBN-13:	9781484264171
ISBN-10:	1484264177
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Gerard, Charlie
Auflage:	1st ed.
Hersteller:	Apress Apress L.P.
Maße:	235 x 155 x 19 mm
Von/Mit:	Charlie Gerard
Erscheinungsdatum:	17.11.2020
Gewicht:	0,517 kg

preigu-id: 118906865