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, Tensor Flow 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
Campesato Oswald Campesato
Angular and Machine Learning Pocket Primer [EPUB ebook]
Angular and Machine Learning Pocket Primer [EPUB ebook]
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Мова Англійська ● Формат EPUB ● Сторінки 262 ● ISBN 9781683924692 ● Видавець Mercury Learning & Information ● Опубліковано 2020 ● Завантажувані 3 разів ● Валюта EUR ● Посвідчення особи 7430373 ● Захист від копіювання Adobe DRM
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