Information Theory, Inference and Learning Algorithms
David J. C. MacKay’s Information Theory, Inference and Learning Algorithms offers a unified introduction to major ideas in information theory, statistical inference, and machine learning. Designed for students and independent readers, it provides a broad foundation for understanding how information is represented, analyzed, and used computationally.
About This Book
Information Theory, Inference and Learning Algorithms presents a unified treatment of three closely related areas of mathematical and computational study.
David J. C. MacKay explores foundational ideas connected with information, inference, and algorithms in a way suited to readers building broad conceptual understanding.
The book is relevant to students and independent learners interested in the principles underlying modern data analysis and computational learning.
This listing is for a used copy described as being in good condition.
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