Angular and Machine Learning Pocket Primer

by Oswald Campesato

Overview

No detailed description available for "Angular and Machine Learning Pocket Primer".

Product Details

ISBN-13:	9781683924708
Publisher:	Mercury Learning and Information
Publication date:	04/11/2020
Series:	Pocket Primer
Pages:	262
Product dimensions:	6.00(w) x 8.90(h) x 0.70(d)

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).

Table of Contents

1: Quick Introduction to Angular
2: UI Controls, User Input, and Pipe
3: Forms and Services
4: Introduction to Machine Learning
5: Working with Classifiers
6: Angular and TensorFlow .js
Appendix: Introduction to Keras.