Talwalkar ameet (7 Ergebnisse)

- Hardcover
Anbieter: Housing Works Online Bookstore, New York, NY, USAHousing Works Online Bookstore
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Gut
EUR 29,47
EUR 3,45 VersandVersand innerhalb von USAAnzahl: 1 verfügbar
Zustand: Very Good. Minimal wear to cover. Pages clean and binding tight. shelf wear. bumped edges. Hardcover.

- Hardcover
Anbieter: BooksRun, Philadelphia, PA, USABooksRun
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 58,06
Versand gratisVersand innerhalb von USAAnzahl: 1 verfügbar
Hardcover. Zustand: New. 2nd ed. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.

- Hardcover
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USARomtrade Corp.
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 83,34
Versand gratisVersand innerhalb von USAAnzahl: 1 verfügbar
Zustand: 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.

- Hardcover
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USARomtrade Corp.
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 85,36
Versand gratisVersand innerhalb von USAAnzahl: 2 verfügbar
Zustand: 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 (Editor)
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 82,87
EUR 17,54 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Hardcover. Zustand: Brand New. 2nd new edition. 504 pages. 9.00x7.00x1.25 inches. In Stock.

- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 94,82
EUR 14,01 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 3 verfügbar
Zustand: New. In.

- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 106,25
EUR 66,30 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: 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 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.