David J. C. MacKay Books
David J. C.
Known for: Information Theory, Inference and Learning Algorithms
Books by David J. C. MacKay
Information Theory, Inference and Learning Algorithms
This comprehensive textbook introduces the fundamental principles of information theory, probabilistic inference, and machine learning. It unifies these fields through a coherent mathematical framework, covering topics such as data compression, error-correcting codes, Bayesian inference, and neural networks. The book emphasizes practical algorithms and includes numerous examples and exercises to deepen understanding.
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The Origins and Pillars of Information Theory
We begin where the story of modern communication truly starts — with Shannon. His 1948 paper defined information as the reduction of uncertainty, quantifying it with entropy. Entropy tells us how unpredictable a variable is, how much surprise each observation carries. This simple yet profound insigh...
From Information Theory, Inference and Learning Algorithms
Compression and the Economics of Representation
Once the notion of entropy has been established, the next natural question arises: how can we use it to compress data without losing meaning? In these chapters, I take you through both lossless and lossy compression, showing how optimal codes are those whose average length matches the entropy of the...
From Information Theory, Inference and Learning Algorithms
About David J. C. MacKay
David J. C. MacKay (1967–2019) was a British physicist, information theorist, and professor at the University of Cambridge. He was known for his contributions to information theory, machine learning, and sustainable energy. MacKay also served as Chief Scientific Adviser to the UK Department of Energ...
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David J. C. MacKay (1967–2019) was a British physicist, information theorist, and professor at the University of Cambridge. He was known for his contributions to information theory, machine learning, and sustainable energy. MacKay also served as Chief Scientific Adviser to the UK Department of Energ...
David J. C. MacKay (1967–2019) was a British physicist, information theorist, and professor at the University of Cambridge. He was known for his contributions to information theory, machine learning, and sustainable energy. MacKay also served as Chief Scientific Adviser to the UK Department of Energy and Climate Change and authored influential works on energy and computation.
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