Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers by Ch

Description: Practical Machine Learning in JavaScript by Charlie Gerard 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. Youll 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, youll 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 Youll LearnUse the JavaScript framework for MLBuild machine learning applications for the webDevelop dynamic and intelligent web contentWho This Book Is ForWeb developers and who want a hands-on introduction to machine learning in JavaScript. A working knowledge of the JavaScript language is recommended. FORMAT Paperback LANGUAGE English CONDITION Brand New 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. Youll 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, youll 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 Author Biography 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. Shes excited to share what shes learned and help more developers get started. Table of Contents 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. Feature 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 Details ISBN1484264177 Author Charlie Gerard Short Title Practical Machine Learning in JavaScript Language English ISBN-10 1484264177 ISBN-13 9781484264171 Format Paperback Year 2020 DOI 10.1007/978-1-4842-6418-8 Pages 323 Publication Date 2020-11-17 Publisher APress Edition 1st Imprint APress Place of Publication Berkley Country of Publication United States AU Release Date 2020-11-17 NZ Release Date 2020-11-17 US Release Date 2020-11-17 UK Release Date 2020-11-17 Subtitle TensorFlow.js for Web Developers Illustrations 110 Illustrations, black and white; XVI, 323 p. 110 illus. Edition Description 1st ed. Alternative 9781484278888 DEWEY 006.31 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:134277078;

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