Information Theory for Modern Machine Learning: From Theory to Python Practice
Explore the relationship between information theory and modern machine learning. This book combines theoretical foundations with Python practice, offering a focused path for readers who want to connect mathematical ideas with hands-on implementation in machine learning.
About This Book
Information Theory for Modern Machine Learning presents information theory in relation to contemporary machine learning.
The book connects theoretical ideas with practical work in Python, making both concepts and implementation part of the learning experience.
It is intended for readers seeking a bridge between mathematical foundations and machine learning practice.
Written by Bo (Henry) Tang, the book focuses on learning through the combination of theory and code.
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