Angular and Machine Learning Primer - Brossura

Campesato, Oswald

Brossura

ISBN 10: 1683924703 ISBN 13: 9781683924708

Casa editrice: Mercury Learning & Information, 2020

Riassunto

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

Su questo libro

Informazioni sull?autore

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).

Dettagli dell'edizione

• Editore: Mercury Learning & Information
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 1683924703
• ISBN 13: 9781683924708
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 261
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile