Sprache: Englisch
Verlag: Cambridge University Press (edition New), 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Very Good. New. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Cambridge University Press, GB, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 59,43
Anzahl: 1 verfügbar
In den WarenkorbHardback. Zustand: New. Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks.
Sprache: Englisch
Verlag: Cambridge University Press, GB, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Hardback. Zustand: New. Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks.
Sprache: Englisch
Verlag: Cambridge University Press 2022-04-21, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 48,83
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 49,33
Anzahl: 2 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 53,64
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 55,68
Anzahl: 2 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
EUR 71,47
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 227 pages. 9.25x6.25x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: Books Puddle, New York, NY, USA
Zustand: New.
Zustand: New. Optimization techniques are at the core of data science. An understanding of the basic techniques and their fundamental properties provides important grounding for students, researchers, and practitioners. This compact, self-contained text covers the fundam.
Sprache: Englisch
Verlag: Cambridge University Press, GB, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
Hardback. Zustand: New. Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks.
Sprache: Englisch
Verlag: Cambridge University Press, GB, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 54,87
Anzahl: 1 verfügbar
In den WarenkorbHardback. Zustand: New. Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 48,05
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 227 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 81,37
Anzahl: 4 verfügbar
In den WarenkorbZustand: New. Print on Demand.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND.