Key Features

Comprehensive coverage of AI and expert systems from basics to advanced topics

Practical examples and detailed explanations for hands-on learning

Logical progression of chapters to build a solid understanding

Book Description

As part of the Pocket Primer series, this book introduces basic deep learning concepts and integrates them into Angular 10 applications. It offers a fast-paced introduction to deep learning features and popular classifiers. Covering Angular 10 functionality, deep learning concepts, and key classification algorithms, the book includes code samples and figures. Topics such as TensorFlow and Keras are also explored.

The book begins with an introduction to AI and its applications, followed by state space search and heuristic search strategies. You will delve into expert systems, their development life cycle, knowledge acquisition, and representation. These topics lead to a deeper understanding of neural networks, the learning process, and fuzzy logic systems, ensuring a comprehensive grasp of AI and deep learning principles.

Understanding these concepts is essential for developing sophisticated AI applications and enhancing Angular 10 projects. This book transitions you from a novice to a proficient developer, equipped with practical skills and knowledge. Advanced topics like fuzzy expert systems and logic programming are covered, culminating in advanced Prolog. Companion files with source code and color figures enhance the learning experience, making this book an invaluable resource for integrating deep learning with Angular 10.

What you will learn

Understand the foundational concepts of AI

Apply heuristic search strategies effectively

Develop and implement expert systems

Utilize neural networks for machine learning

Leverage fuzzy logic in decision-making

Master programming in Prolog

Who this book is for

This book is ideal for software engineers, data scientists, and IT professionals seeking to deepen their understanding of AI and expert systems. Readers should have a basic understanding of programming and computer science principles. Prior experience with AI or machine learning concepts is beneficial but not required.