Learning from Data - Concepts, Theory and Methods 2e
Cherkassky
ISBN 10: 0471681822 ISBN 13: 9780471681823
Published by John Wiley and Sons Ltd, 2007
Used
Hardcover
From
OM Books, Sevilla, SE, Spain
Seller rating 5 out of 5 stars
AbeBooks Seller since January 27, 2022
This specific item is no longer available.
About this Item
Description:
Seller Inventory # 9780471681823
Synopsis:
An interdisciplinary framework for learning methodologies―covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied―showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
About the Author:
Vladimir CherKassky, PhD, is Professor of Electrical and Computer Engineering at the University of Minnesota. He is internationally known for his research on neural networks and statistical learning.
Filip Mulier, PhD, has worked in the software field for the last twelve years, part of which has been spent researching, developing, and applying advanced statistical and machine learning methods. He currently holds a project management position.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Learning from Data - Concepts, Theory and ...
Publisher: John Wiley and Sons Ltd
Publication Date: 2007
Binding: Hardcover
Condition: Usado - bueno
Edition: 2nd Edition
Top Search Results from the AbeBooks Marketplace
Stock Image
Learning from Data: Concepts, Theory, and Methods
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_426055365
Stock Image
Learning from Data: Concepts, Theory, and Methods
Published by
Wiley-IEEE Press (edition 2), 2007
ISBN 10: 0471681822
ISBN 13: 9780471681823
Used
Hardcover
Seller: BooksRun, Philadelphia, PA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Good. 2. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Seller Inventory # 0471681822-11-1
Stock Image
Learning from Data: Concepts, Theory, and Methods (IEEE Press)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Feb2215580225529
Seller Image
Learning from Data : Concepts, Theory, and Methods
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 2425082-n
Stock Image
Learning from Data (Hardcover)
Published by
John Wiley & Sons Inc, Chicester, 2007
ISBN 10: 0471681822
ISBN 13: 9780471681823
New
Hardcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. An interdisciplinary framework for learning methodologiescovering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be appliedshowing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text. An interdisciplinary framework for learning methodologies, covering statistics, neural networks, and fuzzy logic, Learning from Data provides a unified treatment of the principles and methods for learning dependencies from data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780471681823
Stock Image
Learning from Data
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. xviii + 538 2nd Edition. Seller Inventory # 26368915
Seller Image
Learning from Data : Concepts, Theory, and Methods
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 2425082-n
Buy New
US$ 192.25
US$ 20.08 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Learning from Data
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FW-9780471681823
Buy New
US$ 192.27
US$ 7.86 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 2 available
Seller Image
Learning from Data
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Gebunden. Condition: New. Vladimir CherKassky, PhD, is Professor of Electrical and Computer Engineering at the University of Minnesota. He is internationally known for his research on neural networks and statistical learning.Filip Mulier, PhD, has worked in the software field for th. Seller Inventory # 446917716
Buy New
US$ 192.88
US$ 57.44 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Stock Image
Learning from Data (Hardcover)
Published by
John Wiley & Sons Inc, Chicester, 2007
ISBN 10: 0471681822
ISBN 13: 9780471681823
New
Hardcover
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. An interdisciplinary framework for learning methodologiescovering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be appliedshowing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text. An interdisciplinary framework for learning methodologies, covering statistics, neural networks, and fuzzy logic, Learning from Data provides a unified treatment of the principles and methods for learning dependencies from data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780471681823
Buy New
US$ 193.67
US$ 49.52 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available