Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Very Good.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 38,23
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Kuba Libri, Prague, Tschechien
Hardcover. Zustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: California Books, Miami, FL, USA
Zustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Cambridge University Press CUP, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Books Puddle, New York, NY, USA
Zustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 78,53
Anzahl: 4 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 72,78
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 72,77
Anzahl: 4 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 80,58
Anzahl: 4 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
EUR 86,06
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Russell Books, Victoria, BC, Kanada
hardcover. Zustand: New. New. Special order direct from the distributor.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 106,73
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Cambridge University Press -, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 97,96
Anzahl: 2 verfügbar
In den Warenkorbhardcover. Zustand: New.
EUR 106,47
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 420 pages. 9.96x6.97x0.50 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, GB, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 138,16
Anzahl: 1 verfügbar
In den WarenkorbHardback. Zustand: New. This book introduces relevant and established data-driven modeling tools currently in use or in development, which will help readers master the art and science of constructing models from data and dive into different application areas. It presents statistical tools useful to individuate regularities, discover patterns and laws in complex datasets, and demonstrates how to apply them to devise models that help to understand these systems and predict their behaviors. By focusing on the estimation of multivariate probabilities, the book shows that the entire domain, from linear regressions to deep learning neural networks, can be formulated in probabilistic terms. This book provides the right balance between accessibility and mathematical rigor for applied data science or operations research students, graduate students in CSE, and machine learning and uncertainty quantification researchers who use statistics in their field. Background in probability theory and undergraduate mathematics is assumed.
Sprache: Englisch
Verlag: Cambridge University Press, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces relevant and established data-driven modeling tools currently in use or in development, which will help readers master the art and science of constructing models from data and dive into different application areas. It presents statistical tools useful to individuate regularities, discover patterns and laws in complex datasets, and demonstrates how to apply them to devise models that help to understand these systems and predict their behaviors. By focusing on the estimation of multivariate probabilities, the book shows that the entire domain, from linear regressions to deep learning neural networks, can be formulated in probabilistic terms. This book provides the right balance between accessibility and mathematical rigor for applied data science or operations research students, graduate students in CSE, and machine learning and uncertainty quantification researchers who use statistics in their field. Background in probability theory and undergraduate mathematics is assumed.
Sprache: Englisch
Verlag: Cambridge University Press, GB, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 129,63
Anzahl: 1 verfügbar
In den WarenkorbHardback. Zustand: New. This book introduces relevant and established data-driven modeling tools currently in use or in development, which will help readers master the art and science of constructing models from data and dive into different application areas. It presents statistical tools useful to individuate regularities, discover patterns and laws in complex datasets, and demonstrates how to apply them to devise models that help to understand these systems and predict their behaviors. By focusing on the estimation of multivariate probabilities, the book shows that the entire domain, from linear regressions to deep learning neural networks, can be formulated in probabilistic terms. This book provides the right balance between accessibility and mathematical rigor for applied data science or operations research students, graduate students in CSE, and machine learning and uncertainty quantification researchers who use statistics in their field. Background in probability theory and undergraduate mathematics is assumed.
Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. This book introduces relevant and established data-driven modeling tools currently in use or in development, which will help readers master the art and science of constructing models from data and dive into different application areas. It presents statistical tools useful to individuate regularities, discover patterns and laws in complex datasets, and demonstrates how to apply them to devise models that help to understand these systems and predict their behaviors. By focusing on the estimation of multivariate probabilities, the book shows that the entire domain, from linear regressions to deep learning neural networks, can be formulated in probabilistic terms. This book provides the right balance between accessibility and mathematical rigor for applied data science or operations research students, graduate students in CSE, and machine learning and uncertainty quantification researchers who use statistics in their field. Background in probability theory and undergraduate mathematics is assumed. This book introduces a powerful selection of methodologies and approaches for constructing models from data from various domains from statistics to complexity science. This book uses the estimation of multivariate probabilities as a frame of reference for the entire domain, from linear regressions to deep learning neural networks. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 68,32
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 420 pages. 9.96x6.97x0.50 inches. In Stock. This item is printed on demand.
Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
EUR 79,27
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: new. Hardcover. This book introduces relevant and established data-driven modeling tools currently in use or in development, which will help readers master the art and science of constructing models from data and dive into different application areas. It presents statistical tools useful to individuate regularities, discover patterns and laws in complex datasets, and demonstrates how to apply them to devise models that help to understand these systems and predict their behaviors. By focusing on the estimation of multivariate probabilities, the book shows that the entire domain, from linear regressions to deep learning neural networks, can be formulated in probabilistic terms. This book provides the right balance between accessibility and mathematical rigor for applied data science or operations research students, graduate students in CSE, and machine learning and uncertainty quantification researchers who use statistics in their field. Background in probability theory and undergraduate mathematics is assumed. This book introduces a powerful selection of methodologies and approaches for constructing models from data from various domains from statistics to complexity science. This book uses the estimation of multivariate probabilities as a frame of reference for the entire domain, from linear regressions to deep learning neural networks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2025
ISBN 10: 100922185X ISBN 13: 9781009221856
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Hardcover. Zustand: new. Hardcover. This book introduces relevant and established data-driven modeling tools currently in use or in development, which will help readers master the art and science of constructing models from data and dive into different application areas. It presents statistical tools useful to individuate regularities, discover patterns and laws in complex datasets, and demonstrates how to apply them to devise models that help to understand these systems and predict their behaviors. By focusing on the estimation of multivariate probabilities, the book shows that the entire domain, from linear regressions to deep learning neural networks, can be formulated in probabilistic terms. This book provides the right balance between accessibility and mathematical rigor for applied data science or operations research students, graduate students in CSE, and machine learning and uncertainty quantification researchers who use statistics in their field. Background in probability theory and undergraduate mathematics is assumed. This book introduces a powerful selection of methodologies and approaches for constructing models from data from various domains from statistics to complexity science. This book uses the estimation of multivariate probabilities as a frame of reference for the entire domain, from linear regressions to deep learning neural networks. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.