AI and machine learning for coders : a programmer's guide to artificial intelligence
著者
書誌事項
AI and machine learning for coders : a programmer's guide to artificial intelligence
O'Reilly, 2021
1st ed., 2nd release
- : pbk
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注記
Includes index
"Revision history for the first edition: first release (2020-10-01), second release (2021-05-28)"--T.p. verso
内容説明・目次
内容説明
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.
You'll learn:
How to build models with TensorFlow using skills that employers desire
The basics of machine learning by working with code samples
How to implement computer vision, including feature detection in images
How to use NLP to tokenize and sequence words and sentences
Methods for embedding models in Android and iOS
How to serve models over the web and in the cloud with TensorFlow Serving
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