Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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ISBN 10: 1316518981 ISBN 13: 9781316518984
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Añadir al carritoHardback or Cased Book. Condición: New. Optimization for Data Analysis 1.07. Book.
Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Publicado por Cambridge University Press, Cambridge, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Añadir al carritoHardcover. Condición: new. Hardcover. 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. 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 fundamentals of optimization algorithms, focusing on the techniques most relevant to data science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Publicado por Cambridge University Press, 2022
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Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Publicado por Cambridge University Press, 2022
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ISBN 10: 1316518981 ISBN 13: 9781316518984
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Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Idioma: Inglés
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Publicado por Cambridge University Press, Cambridge, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Añadir al carritoHardcover. Condición: new. Hardcover. 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. 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 fundamentals of optimization algorithms, focusing on the techniques most relevant to data science. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Cambridge University Pr., 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
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Añadir al carritoCondición: 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.
Publicado por Cambridge University Press, Cambridge, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
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Añadir al carritoHardcover. Condición: new. Hardcover. 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. 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 fundamentals of optimization algorithms, focusing on the techniques most relevant to data science. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Añadir al carritoHardcover. Condición: Brand New. 227 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
Publicado por Cambridge University Press, 2022
ISBN 10: 1316518981 ISBN 13: 9781316518984
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.