“This excellent and very educational book will bring the reader up to date with the main concepts and advances in deep learning with a solid anchoring in probability. Theseconcepts are powering current industrial AI systems and are likely to form the basis of further advances towards artificial general intelligence.”
Yoshua Bengio, co-president and scientific director of LawZero
Deep Learning: Foundations and Concepts introduces the essential ideas that define today’s machine learning landscape.
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.
The book is structured to guide readers step by step through modern learning architectures and methods. Each chapter builds on earlier material, encouraging steady progress without overwhelming detail.
This design supports university instruction while remaining accessible to professionals engaged in research or ongoing education.
Christopher M. Bishop and Hugh Bishop place clarity at the center of their approach.
Mathematical concepts are introduced with care, using a blend of explanation, visuals, and code-based illustrations to reinforce key ideas. With a focus on probability theory and data-driven learning, the book encourages a confident, informed exploration of machine learning.
These elements prepare readers to engage thoughtfully with a field that is shaping the future of work and innovation.
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