9780262039406 - foundations of machine learning, second edition di mohri, mehryar; rostamizadeh, afshin; talwalkar, ameet (30 risultati)
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Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be prin…ted on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Foundations of Machine Learning
Mohri, Mehryar; Rostamizadeh, Afshin; Talwalkar, Ameet; Bach, Francis (EDT)
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Foundations of Machine Learning
Mohri, Mehryar; Rostamizadeh, Afshin; Talwalkar, Ameet; Bach, Francis (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Hardcover. Condizione: new. Hardcover. A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics i…n machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review.This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition. A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Foundations of Machine Learning
Mohri, Mehryar; Rostamizadeh, Afshin; Talwalkar, Ameet; Bach, Francis (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: New.
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Hardback. Condizione: New. second edition.
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Condizione: New. 2018. second edition. Hardcover. . . . . .
Foundations of Machine Learning (Adaptive Computation and Machine Learning series)
Mohri, Mehryar Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, Francis Bach,
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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hardcover. Condizione: New.
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Condizione: New. In.
Foundations of Machine Learning
Mohri, Mehryar; Rostamizadeh, Afshin; Talwalkar, Ameet; Bach, Francis (EDT)
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Condizione: As New. Unread book in perfect condition.
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Hardback. Condizione: New. New copy - Usually dispatched within 3 working days.
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Condizione: New. 2018. second edition. Hardcover. . . . . . Books ship from the US and Ireland.
Foundations of Machine Learning
Mohri, Mehryar/ Rostamizadeh, Afshin/ Talwalkar, Ameet/ Bach, Francis (Editor)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 2nd new edition. 504 pages. 9.00x7.00x1.25 inches. In Stock.
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Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
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Hardback. Condizione: New. second edition.
Foundations of Machine Learning
Mohri, Mehryar/ Rostamizadeh, Afshin/ Talwalkar, Ameet/ Bach, Francis (Editor)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 2nd new edition. 504 pages. 9.00x7.00x1.25 inches. In Stock.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 106,25
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Buch. Condizione: Neu. Neuware - A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in mach…ine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review.This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.
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EUR 109,05
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Buch. Condizione: Neu. Foundations of Machine Learning | Afshin Rostamizadeh (u. a.) | Buch | Adaptive Computation and Machine Learning series | Einband - fest (Hardcover) | Englisch | 2018 | MIT Press Ltd | EAN 9780262039406 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de… | Anbieter: preigu.
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Hardcover. Condizione: new. Hardcover. A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics i…n machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review.This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition. A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Hardback. Condizione: New. second edition.
Editore: Penguin Random House
Da: INDOO, Avenel, NJ, U.S.A.INDOO
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Editore: Penguin Random House
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Condizione: New. Brand New.
