Pattern Recognition and Machine Learning - neues Buch
2017, ISBN: 9780387310732
[ED: Buch], [PU: Springer Nature Singapore], Neuware - Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities… Mehr…
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Pattern Recognition and Machine Learning - gebunden oder broschiert
2006, ISBN: 9780387310732
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and tog… Mehr…
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Pattern Recognition and Machine Learning (Information Science and Statistics) - gebunden oder broschiert
2006, ISBN: 9780387310732
Springer, Hardcover, Auflage: Newer (Colored), 798 Seiten, Publiziert: 2006-08-17T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 0387310738SRQ, 1.05 kg, Verkaufsrang: 74103, AI & Machine… Mehr…
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Pattern Recognition and Machine Learning (Information Science and Statistics) - gebunden oder broschiert
2006, ISBN: 9780387310732
Springer, Hardcover, Auflage: Newer (Colored), 798 Seiten, Publiziert: 2006-08-17T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 0387310738SRQ, 1.05 kg, Verkaufsrang: 74103, AI & Machine… Mehr…
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Pattern Recognition and Machine Learning - neues Buch
2017, ISBN: 9780387310732
[ED: Buch], [PU: Springer Nature Singapore], Neuware - Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities… Mehr…
Christopher M. Bishop:
Pattern Recognition and Machine Learning - gebunden oder broschiert2006, ISBN: 9780387310732
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and tog… Mehr…
ISBN: 9780387310732
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and tog… Mehr…
Pattern Recognition and Machine Learning (Information Science and Statistics) - gebunden oder broschiert
2006, ISBN: 9780387310732
Springer, Hardcover, Auflage: Newer (Colored), 798 Seiten, Publiziert: 2006-08-17T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 0387310738SRQ, 1.05 kg, Verkaufsrang: 74103, AI & Machine… Mehr…
Pattern Recognition and Machine Learning (Information Science and Statistics) - gebunden oder broschiert
2006, ISBN: 9780387310732
Springer, Hardcover, Auflage: Newer (Colored), 798 Seiten, Publiziert: 2006-08-17T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 0387310738SRQ, 1.05 kg, Verkaufsrang: 74103, AI & Machine… Mehr…
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Detailangaben zum Buch - Pattern Recognition and Machine Learning (Information Science and Statistics)
EAN (ISBN-13): 9780387310732
ISBN (ISBN-10): 0387310738
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2006
Herausgeber: Springer
738 Seiten
Gewicht: 2,041 kg
Sprache: eng/Englisch
Buch in der Datenbank seit 2007-06-04T07:41:51+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-05-04T04:45:31+02:00 (Berlin)
ISBN/EAN: 9780387310732
ISBN - alternative Schreibweisen:
0-387-31073-8, 978-0-387-31073-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: bishop chris, christopher bishop, christopher many, christ, christoph bishop
Titel des Buches: information, statistics, science, pattern recognition and machine learning, course machine, bildfolien learning, learning see, learning from the least, the machine seen, learning think, learning how ask, patt, christopher recognition learning machine pattern bishop
Daten vom Verlag:
Autor/in: Christopher M. Bishop
Titel: Information Science and Statistics; Pattern Recognition and Machine Learning
Verlag: Springer; Springer US
778 Seiten
Erscheinungsjahr: 2006-08-17
New York; NY; US
Sprache: Englisch
93,49 € (DE)
BB; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Mustererkennung; Verstehen; algorithms; bioinformatics; classification; computer vision; data mining; learning; machine learning; statistics; Automated Pattern Recognition; Artificial Intelligence; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Computer Vision; Künstliche Intelligenz; Wahrscheinlichkeitsrechnung und Statistik; Maschinelles Sehen, Bildverstehen; EA; BC
Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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