Artificial Intelligence for Scientists and Engineers. Volume 1 Machine Learning Synopsis
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.
