Handbook on Artificial Intelligence & Machine Learning by D.P. Mittal – 1st Edition 2025

Description

The book is an attempt at explaining the basics of artificial intelligence and its components such as machine learning, deep learning, deepfakes, and also generative Al as a technology for creativity, content creation, and problem-solving. Chapter 1 is an introductory chapter explaining artificial intelligence as a concept: Chapter 2 deals with what artificial intelligence means, its history and development, its limitations, risks and harm and its role in healthcare, agriculture, education, finances and financial markets, market and industry, robotics, manufacturing, transportation and logistic, 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, algorithmic transparency and algorithmic accountability: 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 Al 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-a conversational Arificial Intelligence chatbot created to answer questions and respond to queries through a chat interface that sounds human and authentic, how it works and how accessed, its limitations and concerns Chapter 7 deals with cybersecurity and cybercrimes and the role of AL/ML Chapter 8 deals with European Union Act designed to establish the world’s first