Angular and Machine Learning Pocket Primer / / Oswald Campesato.

• VerfasserIn: Campesato, Oswald,
• Place / Publishing House: Dulles, VA : : Mercury Learning and Information, , [2020]; ©2020
• Year of Publication: 2020
• Language: English
• Series: Pocket Primer
• Physical Description: 1 online resource (262 p.)
• Other title: Frontmatter --; Contents --; Preface --; 1. Quick Introduction to Angular --; 2. UI Controls, User Input, and Pipes --; 3. Forms and Services --; 4. Intro to Machine Learning --; 5. Working with Classifiers --; 6. Angular and TensorFlow.js --; Introduction to Keras --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781683924685
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Oswald Campesato.

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