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Angular and Machine Learning Pocket Primer Cover

Angular and Machine Learning Pocket Primer

Volume in the series
Paid access
|Apr 2020
Print: Available at Amazon
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
PDF ISBN: 978-1-68392-468-5 | E-Pub ISBN: 978-1-68392-469-2 | Paperback ISBN: 978-1-68392-470-8 | DOI: 10.1515/9781683924685
Publisher: Mercury Learning and Information
Copyright owner: © 2020 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2020
Language: English
Pages: 262

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