Information Theory, Inference And Learning Algorithms

Information Theory, Inference And Learning Algorithms

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SKU: DADAX0521642981
UPC: 9780521642989
Brand: Cambridge University Press
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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 Sparsegraph Codes For Errorcorrection. A Toolbox Of Inference Techniques, Including Messagepassing Algorithms, Monte Carlo Methods, And Variational Approximations, Are Developed Alongside Applications Of These Tools To Clustering, Convolutional Codes, Independent Component Analysis, And Neural Networks. The Final Part Of The Book Describes The State Of The Art In Errorcorrecting Codes, Including Lowdensity Paritycheck Codes, Turbo Codes, And Digital Fountain Codes The Twentyfirst Century Standards For Satellite Communications, Disk Drives, And Data Broadcast. Richly Illustrated, Filled With Worked Examples And Over 400 Exercises, Some With Detailed Solutions, David Mackay'S Groundbreaking Book Is Ideal For Selflearning And For Undergraduate Or Graduate Courses. Interludes On Crosswords, Evolution, And Sex Provide Entertainment Along The Way. In Sum, This Is A Textbook On Information, Communication, And Coding For A New Generation Of Students, And An Unparalleled Entry Point Into These Subjects For Professionals In Areas As Diverse As Computational Biology, Financial Engineering, And Machine Learning.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

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