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Angular and Machine Learning Pocket Primer

Angular and Machine Learning Pocket Primer

Current price: $39.95
Publication Date: April 11th, 2020
Publisher:
Mercury Learning and Information
ISBN:
9781683924708
Pages:
262
Special Order - Subject to Availability

Description

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

About the Author

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).