Angular and Machine Learning Pocket Primer:

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...

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Bibliographische Detailangaben
1. Verfasser: Campesato, Oswald (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Herndon Mercury Learning and Information [2020]
Schriftenreihe:Pocket Primer
Schlagworte:
Online-Zugang:DE-1046
DE-1043
DE-858
DE-859
DE-860
DE-739
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Zusammenfassung: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 applicationsIncludes source code and full color figures
Beschreibung:Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023)
Beschreibung:1 Online-Ressource (262 Seiten)
ISBN:9781683924685
DOI:10.1515/9781683924685

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