Angular and Machine Learning Pocket Primer - Tapa blanda

Campesato, Oswald

 
9781683924708: Angular and Machine Learning Pocket Primer
Tapa blanda
ISBN 10: 1683924703 ISBN 13: 9781683924708
Editorial: Mercury Learning and Information, 2020

Sinopsis

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

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Acerca del autor

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Mercury Learning and Information
Año de publicación
2020
Idioma
Inglés
ISBN 10 
1683924703
ISBN 13 
9781683924708
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
280
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