Practical Machine Learning in JavaScript

Practical Machine Learning in JavaScript
Author: Charlie Gerard
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN: 9781484278888

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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.


Practical Machine Learning in JavaScript
Language: en
Pages: 0
Authors: Charlie Gerard
Categories:
Type: BOOK - Published: 2021 - Publisher:

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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
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Categories: Computers
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A definitive guide to creating an intelligent web application with the best of machine learning and JavaScript Key Features Solve complex computational problems
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You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start
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Language: en
Pages: 300
Authors: Gant Laborde
Categories: Computers
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Combining the demand for AI with the ubiquity of JavaScript was inevitable. With Google's TensorFlow.js framework, seasoned AI veterans and web developers alike