Machine Learning: From Basics to Advanced Models
39.99 €
The only thing available 3
In today's digital world, Deep Learning plays a leading role, shaping the future of technology. If you've always been fascinated by this dynamic field but have struggled with complex technical texts, Simon Prince's book is just what you need.
Expertise without the fluff
This book offers an authoritative, accessible, and up-to-date presentation of all the main topics of deep learning, including the latest advances and cutting-edge concepts. The book intuitively presents the ideas critical to understanding ML.
A Comprehensive and User-Friendly Approach
Each concept is described in simple language and then explored in detail using mathematical formulas and illustrations. This makes complex topics more accessible and digestible for any reader with a basic understanding of applied mathematics.
Modern and Relevant Topics
Short and informative chapters are structured to gradually increase in complexity, helping you gradually master increasingly complex concepts.
Theory Meets Practice
A pragmatic approach that combines theory and practice provides sufficient detail to create simple versions of models. Optimally presented ideas separate important concepts from unimportant context.
Accessibility and Support
Minimal mathematical requirements and a wealth of illustrations and graphics make the material accessible. Furthermore, the book includes Python programming exercises, allowing you to immediately apply the knowledge in practice.
Expertise without the fluff
This book offers an authoritative, accessible, and up-to-date presentation of all the main topics of deep learning, including the latest advances and cutting-edge concepts. The book intuitively presents the ideas critical to understanding ML.
A Comprehensive and User-Friendly Approach
Each concept is described in simple language and then explored in detail using mathematical formulas and illustrations. This makes complex topics more accessible and digestible for any reader with a basic understanding of applied mathematics.
Modern and Relevant Topics
Short and informative chapters are structured to gradually increase in complexity, helping you gradually master increasingly complex concepts.
Theory Meets Practice
A pragmatic approach that combines theory and practice provides sufficient detail to create simple versions of models. Optimally presented ideas separate important concepts from unimportant context.
Accessibility and Support
Minimal mathematical requirements and a wealth of illustrations and graphics make the material accessible. Furthermore, the book includes Python programming exercises, allowing you to immediately apply the knowledge in practice.
See also:
- All books by the publisher
- All books by the author
- All books in the series MIT Library