Verlag: Cambridge University Press, 2020
ISBN 10: 110849370X ISBN 13: 9781108493703
Sprache: Englisch
Anbieter: AwesomeBooks, Wallingford, Vereinigtes Königreich
EUR 12,16
Währung umrechnenAnzahl: 8 verfügbar
In den WarenkorbZustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Verlag: Cambridge University Press, 2020
ISBN 10: 110849370X ISBN 13: 9781108493703
Sprache: Englisch
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 41,63
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 48,49
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 65,85
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Verlag: Cambridge University Press, United Kingdom, Cambridge, 2020
ISBN 10: 110849370X ISBN 13: 9781108493703
Sprache: Englisch
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 83,23
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with point processes (complete spatial randomness and cluster, regular and Gibbs processes). Cellular, structural, functional, medical and behavioral neuroscience levels are considered. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Verlag: Cambridge University Press, 2020
ISBN 10: 110849370X ISBN 13: 9781108493703
Sprache: Englisch
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
EUR 101,98
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbZustand: Used.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 115,89
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: moluna, Greven, Deutschland
EUR 116,37
Währung umrechnenAnzahl: 4 verfügbar
In den WarenkorbZustand: New. Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-de.
Verlag: Cambridge University Press Jan 2021, 2021
ISBN 10: 110849370X ISBN 13: 9781108493703
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 159,90
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbBuch. Zustand: Neu. Neuware - Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.