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Angular and Machine Learning Pocket Primer
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Oswald Campesato
Language:
English
Published/Copyright:
2020
About this book
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic machine learning concepts and incorporate that knowledge into Angular applications. The book is intended to be a fast-paced introduction to some basic features of machine learning and an overview of several popular machine learning classifiers. It includes code samples and numerous figures and covers topics such as Angular functionality, basic machine learning concepts, classification algorithms, TensorFlow and Keras. The files with code and color figures are on the companion disc with the book or available from the publisher.
Features:
- Introduces the basic machine learning concepts and Angular applications
- Includes source code and full color figures
Author / Editor information
Campesato Oswald :
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
April 10, 2020
eBook ISBN:
9781683924685
Paperback published on:
April 25, 2020
Paperback ISBN:
9781683924708
Pages and Images/Illustrations in book
Main content:
262
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
