Artificial Intelligence: An Introduction for the Inquisitive Reader

This book provides an accessible introduction to machine learning and covers basic concepts, algorithms, and applications. It is suitable for anyone with an interest in AI and its mathematics and computer science and can be used as supplementary reading for a course in AI or the History of Mathematics and Computer Science.

Format: Paperback / softback
Length: 344 pages
Publication date: 09 June 2022
Publisher: Taylor & Francis Ltd

This book is a comprehensive guide to the fundamentals of artificial intelligence (AI), covering a wide range of topics from basic concepts to advanced applications. Whether you are a student, researcher, or professional in the field of AI, this book will provide you with a solid foundation in the mathematics and computer science required for understanding and developing AI systems.

Introduction
Artificial intelligence (AI) is a rapidly evolving field that has the potential to revolutionize various aspects of our lives, from healthcare to transportation. However, to fully leverage the power of AI, it is essential to have a solid understanding of its underlying mathematics and computer science. This book aims to provide a comprehensive guide to the fundamentals of AI, covering a wide range of topics from basic concepts to advanced applications.

Who is this book for?
This book is designed for anyone with an interest in AI and its mathematics and computer science. Whether you are a student, researcher, or professional in the field of AI, this book will provide you with a solid foundation in the mathematics and computer science required for understanding and developing AI systems.

What you will learn
By the end of this book, you will have a comprehensive understanding of the following topics:
1. Basic concepts of AI, including neural networks, machine learning, and natural language processing.
2. Mathematical prerequisites for AI, including calculus, linear algebra, and probability theory.
3. Algorithms and techniques for solving AI problems, such as search algorithms, optimization algorithms, and machine learning algorithms.
4. Applications of AI in various fields, including healthcare, finance, transportation, and robotics.
5. Ethical considerations and challenges associated with AI development and deployment.

Conclusion
This book is a valuable resource for anyone who wants to gain a deeper understanding of the fundamentals of AI and its mathematics and computer science. Whether you are a student, researcher, or professional in the field of AI, this book will provide you with the knowledge and tools you need to succeed in your endeavors.

Weight: 544g
Dimension: 156 x 234 x 26 (mm)
ISBN-13: 9781032101842