Artificial Intelligence for Scientists and Engineers, Volume 2: Deep Learning

This is a comprehensive resource on various concepts in machine learning, deep learning, and artificial intelligence. Learning-based systems and models are fundamental to automation and artificial intelligence and they will form the core to all functions in business and all aspects of human lives. Hence, the importance of machine learning and artificial intelligence cannot be overemphasized. This book makes an integrated reference combining all concepts and applications of machine learning and artificial intelligence.

Key Features:

Comprehensive review of AI methodologies, combining all important concepts in machine learning, deep learning, and reinforcement learning.
Includes worked examples, case studies, and end-of-chapter summaries.
Use of mathematics for more comprehensive explanations of the machine learning models unlike most of the current books on the market.
Real-world applications and case studies to illustrate theoretical concepts in machine learning, machine learning, and reinforcement learning.