Angular and Machine Learning Pocket Primer
- 3h 12m
- Oswald Campesato
- Mercury Learning
- 2020
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. It is intended to be a fast-paced introduction to some basic features of machine learning and an overview of several popular machine learning classifiers. The book includes code samples and numerous figures and covers topics such as Angular 8 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.
About the Author
Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning).
In this Book
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Quick Introduction to Angular
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UI Controls, User Input, and Pipes
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Forms and Services
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Intro to Machine Learning
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Working with Classifiers
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Angular and TensorFlow.js
