Covers essential machine learning topics from theory to practice for a complete learning experience
Includes Python implementations of key algorithms to bridge the gap between theory and application
Tailored for students with a mathematical background in engineering or quantitative fields
Self-sufficient structure with dedicated chapters on Python programming for different skill levels
Systematic organization with numerous examples and exercises to reinforce understanding
Summarized by Shop
This book is meant as a textbook for undergraduate and graduate students who are willing to understand essential elements of machine learning from both a theoretical and a practical perspective. The choice of the topics in the book is made based on one criterion: whether the practical utility of a certain method justifies its theoretical