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:
1135193898
Features:
- Introduces the basic machine learning concepts and Angular applications
- Includes source code and full color figures
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 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:
Features:
- Introduces the basic machine learning concepts and Angular applications
- Includes source code and full color figures
26.49
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Angular and Machine Learning Pocket Primer
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Angular and Machine Learning Pocket Primer
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Product Details
ISBN-13: | 9781683924692 |
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Publisher: | Mercury Learning & Information |
Publication date: | 03/27/2020 |
Series: | Pocket Primer |
Sold by: | Barnes & Noble |
Format: | eBook |
Pages: | 262 |
File size: | 2 MB |
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