Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Aggiungi al carrelloHardback. Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Lingua: Inglese
Editore: Cambridge University Press 2022-04-21, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Da: Chiron Media, Wallingford, Regno Unito
EUR 51,55
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Aggiungi al carrelloHardcover. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Da: Books Puddle, New York, NY, U.S.A.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 227 pages. 9.25x6.25x0.75 inches. In Stock.
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Aggiungi al carrelloGebunden. Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Da: Rarewaves.com UK, London, Regno Unito
EUR 57,76
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Aggiungi al carrelloHardback. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 50,81
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Aggiungi al carrelloHardcover. Condizione: Brand New. 227 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Da: Majestic Books, Hounslow, Regno Unito
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Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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