Machine Learning. From Basics to Advanced Models

Diving into Machine Learning and Deep Learning
In today's digital world, Deep Learning plays one of the leading roles, defining the future of technology. If you have always been intrigued by this dynamic field but have faced very complex technical texts,... then Simon Prince's book is exactly what you need.

Expertise without unnecessary details
This book offers an authoritative, accessible, and modern presentation of all the main topics of deep learning, including the latest achievements and cutting-edge concepts. The publication intuitively presents critically important ideas for understanding ML.

Comprehensive and friendly approach
Each concept is described in simple language and then thoroughly explored using mathematical formulas and illustrations. This makes complex topics more understandable and digestible for any reader with basic knowledge in applied mathematics.

Contemporary and relevant topics
Short and meaningful chapters are structured to gradually increase in complexity, helping to master increasingly complex concepts step by step.

Theory coupled with practice
A pragmatic approach that combines theory with practice provides sufficient detail for creating simple versions of models. Optimally presented ideas distinguish important concepts from secondary context.

Accessibility and support
Minimal mathematical requirements, a vast number of illustrations and graphics make the material accessible. Moreover, the book includes programming exercises in Python, allowing for immediate application of knowledge in practice.