Fantastically good value, this wide-ranging textbook covers elementary information theory, data compression, and coding theory; machine learning, Bayesian inference, Monte Carlo methods; and state of the art error-correcting coding methods, including low-density parity-check codes, turbo codes, and digital fountain codes. Theory and practical examples are covered side by side. Hundreds of exercises are included, many with worked solutions.
Three things are distinctive about this book. First, it emphasizes the connections between information theory and machine learning - for example data compression and Bayesian data modelling are two sides of the same coin. Second, since 1993,… Read more
Fantastically good value, this wide-ranging textbook covers elementary information theory, data compression, and coding theory; machine learning, Bayesian inference, Monte Carlo methods; and state of the art error-correcting coding methods, including low-density parity-check codes, turbo codes, and digital fountain codes. Theory and practical examples are covered side by side. Hundreds of exercises are included, many with worked solutions.
Two things are distinctive about this book. First, it emphasizes the connections between information theory and machine learning - for example data compression and Bayesian data modelling are two sides of the same coin. Second, since 1993,… Read more
