Ranked #16 in Machine Learning, Ranked #21 in Computer Vision — see more rankings.
Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference... more
Rankings by Category
Information Theory, Inference and Learning Algorithms is ranked in the following categories:
- #26 in Algorithms
- #95 in Artificial Intelligence
- #97 in Computer Science
- #55 in Data Science
- #31 in Neural Networks
- #99 in Pattern