Information Theory, Inference and Learning Algorithms
Afbeeldingen
Sla de afbeeldingen overArtikel vergelijken
Uitgever: Cambridge University Press
- Engels
- Hardcover
- 9780521642989
- 25 september 2003
- 640 pagina's
David J.C. MacKay
David MacKay is a Professor in the Department of Physics at the University of Cambridge. He studied Natural Sciences at Cambridge and then obtained his PhD in Computation and Neural Systems at the California Institute of Technology. He returned to Cambridge as a Royal Society research fellow at Darwin College. He is internationally known for his research in machine learning, information theory, and communication systems, including the invention of Dasher, a software interface that enables efficient communication in any language with any muscle. He has taught Physics in Cambridge since 1995. Since 2005, he has devoted much of his time to public teaching about energy. He is a member of the World Economic Forum Global Agenda Council on Climate Change.
Samenvatting
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.
Productspecificaties
Inhoud
- Taal
- en
- Bindwijze
- Hardcover
- Oorspronkelijke releasedatum
- 25 september 2003
- Aantal pagina's
- 640
- Illustraties
- Met illustraties
Betrokkenen
- Hoofdauteur
- David J. C. MacKay
- Tweede Auteur
- David J.C. MacKay
- Co Auteur
- Mackay David J. C.
- Hoofduitgeverij
- Cambridge University Press
Overige kenmerken
- Editie
- New title
- Extra groot lettertype
- Nee
- Product breedte
- 195 mm
- Product hoogte
- 34 mm
- Product lengte
- 254 mm
- Studieboek
- Ja
- Verpakking breedte
- 210 mm
- Verpakking hoogte
- 40 mm
- Verpakking lengte
- 264 mm
- Verpakkingsgewicht
- 1846 g
EAN
- EAN
- 9780521642989
Je vindt dit artikel in
- Categorieën
- Taal
- Engels
- Boek, ebook of luisterboek?
- Boek
- Studieboek of algemeen
- Studieboeken
- Beschikbaarheid
- Leverbaar
Kies gewenste uitvoering
Prijsinformatie en bestellen
De prijs van dit product is 69 euro en 13 cent.- Prijs inclusief verzendkosten, verstuurd door bol
- Ophalen bij een bol afhaalpunt mogelijk
- 30 dagen bedenktijd en gratis retourneren
- Dag en nacht klantenservice
- Vandaag nog in huis (bestel ma-vr voor 12:00, bezorging tussen 17:00 en 22:00)
- Doordeweeks ook ’s avonds in huis
- Ook zondag in huis (bestel voor za 23:59)
Vaak samen gekocht
Rapporteer dit artikel
Je wilt melding doen van illegale inhoud over dit artikel:
- Ik wil melding doen als klant
- Ik wil melding doen als autoriteit of trusted flagger
- Ik wil melding doen als partner
- Ik wil melding doen als merkhouder
Geen klant, autoriteit, trusted flagger, merkhouder of partner? Gebruik dan onderstaande link om melding te doen.