Campesato, Oswald
Angular and Machine Learning Pocket Primer (Pocket Primer)
- ISBN 13:
- 9781683924708
- author:
- Campesato, Oswald
- format:
- Paperback / softback
- publisher:
- Mercury Learning & Information
- language:
- English
- Publication Year:
- 2020
- Pages:
- 200
- Dimensions:
- 22.9 x 15.2 centimetres (0.41 kg
- Genre:
- Computers, Social Aspects, Human-Computer Interaction,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Angular and Machine Learning Pocket Primer by Oswald Campesato Master the integration of Angular and machine learning with this comprehensive guide. You'll learn how to apply essential machine learning concepts to real-world applications using TensorFlow.js and Keras. This book covers the basics of Angular, including UI controls, user input, and forms and services, before delving into machine learning topics such as classifiers and integrating TensorFlow.js with Angular. With practical examples and step-by-step tutorials, you'll gain a solid understanding of both Angular and machine learning principles, enabling you to create advanced applications. Companion files with source code and color figures enhance the learning experience, making this book an invaluable resource for anyone looking to integrate machine learning into their Angular projects.
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