Название: Angular and Machine Learning Pocket Primer (Computing)
Автор: Oswald Campesato
Издательство: Mercury Learning & Information
Год: 2020
Формат: true pdf/epub/mobi
Страниц: 278
Размер: 10 Mb
Язык: English

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.