Information Theory, Inference and Learning Algorithms
David J. C. MacKay· ISBN 9780521642989
Special offer terms
Zookal Study Premium
Subscribe & save
By selecting the 'Susbcribe & Save' option you are enrolling in an auto-renewing subscription of Zookal Study Premium. Cancel at anytime.
Auto-Renewal
Your Zookal Study Premium subscription will be renewed each month until you cancel. You consent to Zookal automatically charging your payment method on file $19.99 each month after 1st month free period until you cancel.
How to Cancel
You can cancel your subscription anytime by visiting Manage account page, clicking "Manage subscription" and completing the steps to cancel. Cancellations take effect at the end of the 1st month free period (if applicable) or at the end of the current billing cycle in which your request to cancel was received. Subscription fees are not refundable.
Zookal Study Premium Monthly Subscription Includes:
Ability to post up to ten (10) questions per month.
20% off your textbooks order and free standard shipping whenever you shop online at
textbooks.zookal.com.au
Unused monthly subscription benefits have no cash value, are not transferable, and expire at the end of each month. This means that subscription benefits do not roll over to or accumulate for use in subsequent months.
Payment Methods
Afterpay and Zip Pay will not be available for purchases with Zookal Study Premium subscription added to bag.
$1.00 preauthorisation
You may see a $1.00 preauthorisation by your bank which will disappear from your statement in a few business days..
Email communications
By adding Zookal Study Premium, you agree to receive email communications from Zookal.
CSYS5030 - Information Theory and Self-Organisation
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book 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. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.