“This excellent and highly educational book brings readers up to date on the key concepts and advances in deep learning with firmly anchored probabilities. These concepts are powering current industrial AI systems and may form the basis for further advances towards artificial general intelligence.”
Yoshua Bengio, LawZero Co-President and Scientific Director
Deep Learning: Fundamentals and Concepts Introducing the key ideas that define the machine learning landscape today.
Christopher M. Bishop, a leader in artificial intelligence research, and Hugh Bishop, an applied scientist focused on autonomous systems, have created a text for readers with varying levels of experience.
This book is structured to guide the reader step-by-step through the latest learning architectures and methods. Each chapter builds on previous material, encouraging steady progress without overwhelming the details.
This design supports university instruction while making it accessible to professionals engaged in research and continuing education.
Christopher M. Bishop and Hugh Bishop put clarity at the center of their approach.
Mathematical concepts are carefully introduced through a combination of explanations, visuals, and code-based illustrations to reinforce key ideas. This book focuses on probability theory and data-driven learning, encouraging you to explore machine learning in an informed and confident way.
These elements prepare readers to engage thoughtfully with the areas that will shape the future of work and innovation.
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