Handbook on Artificial Intelligence and Machine Learning

D.P. Mittal’s Handbook on Artificial Intelligence and Machine Learning is a comprehensive guide that demystifies the complexities of AI and its subfields. The book is designed to provide readers with a clear understanding of AI concepts, their applications, and the associated legal and ethical considerations.

The book is an attempt at explaining the basics of artificial intelligence and its components such as machine learning, deep learning, deepfakes, and also for creativity, content creation, and problem-solving.

• Chapter 1 is an introductory chapter explaining artificial intelligence as a concept;
• Chapter 3 deals with data and algorithms which enable computers to process large amounts of data, find patterns in that data, and make decisions or predictions based on those patterns and also  deals with algorithmic bias
• Chapter 4 deals with machine learning, deep learning and deepfake;
• Chapter 5 deals with generative artificial intelligence as a transformative technology going beyond the limitations of traditional AI and using machine learning to generate entirely new and realistic content such as images, videos, music, speech, text, software code, and product designs;
• Chapter 6 deals with ChatGPT
• Chapter 7 deals with cybersecurity and cybercrimes and the role of AL/ML; designed to establish the world's first comprehensive regulatory framework for Artificial Intelligence (AI);
• Chapter 9 is a Glossary chapter

This handbook serves as an essential resource for students, professionals, and enthusiasts seeking to grasp the multifaceted world of artificial intelligence and its implications.