Master Angular and machine learning integration with this practical guide covering Angular, TensorFlow.js, and Keras.

Key Features

Comprehensive coverage of Angular and machine learning integration

Practical examples and step-by-step tutorials

Focus on real-world applications using TensorFlow.js and Keras

Book Description

As part of the best-selling Pocket Primer series, this book introduces readers to basic machine learning concepts and integrates them into Angular applications. It offers a fast-paced introduction to essential machine learning features and an overview of popular classifiers. Covering Angular functionality, basic machine learning concepts, and key classification algorithms, the book includes numerous code samples and figures. Topics such as TensorFlow and Keras are also explored.

The book begins with a quick introduction to Angular, followed by UI controls, user input, and forms and services. As you progress, you will delve into machine learning, working with classifiers, and integrating TensorFlow.js with Angular. These foundational topics ensure a comprehensive grasp of both Angular and machine learning principles, equipping you with practical skills for developing sophisticated applications.

Understanding these concepts is crucial for enhancing Angular projects with machine learning capabilities. This book transitions you from a novice to a proficient developer, equipped with the knowledge and tools needed to create advanced applications. Companion files with source code and color figures enhance the learning experience, making this book an invaluable resource for integrating machine learning with Angular.

What you will learn

Understand Angular framework fundamentals

Create dynamic UIs with Angular

Implement machine learning models

Utilize TensorFlow.js with Angular

Perform data visualization in Angular apps

Integrate Keras models in web applications

Who this book is for

Developers and tech enthusiasts interested in Angular and machine learning. Basic understanding of JavaScript and web development is recommended. Prior experience with Angular is beneficial but not mandatory.