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Data Mining Practical Machine Learning Tools And Techniques

 
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MessagePosté le: Ven 14 Oct - 09:35 (2016)    Sujet du message: Data Mining Practical Machine Learning Tools And Techniques Répondre en citant




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A Tip Of The Hat EUR 4 monthly subscription or one time payment cancelable any time "Tell the chef, the beer is on me." As Long As It's Yummy' EUR 35 yearly subscription or one time payment cancelable any time "Basically the price of a night on the town!" Infinity24&nbsp&nbspof&nbsp&nbsp200&nbsp&nbspsold EUR 199.99999. HallData Mining: Practical Machine Learning Tools and Techniques (eBook, ePUB) EUR 48,95Alle Preise inkl. He received an MA in Mathematics from Cambridge University, England; an MSc in Computer Science from the University of Calgary, Canada; and a PhD in Electrical Engineering from Essex University, England. The Knowledge Flow Interface 12.1. I plan on taking a machine learning course this upcoming fall semester and feel that the book gave me great insight that the course will be based on mathematics more than I had originally expected. Tutorial Exercises for the Weka Explorer 17.1.

Moving on: Extensions and applicationsPart II: The Weka machine learning workbench9. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. The command-line interface14. I strongly recommend this book to all newcomers to data mining, especially to those who wish to understand the fundamentals of machine learning algorithms."--INFORMS Journal of Computing "The third edition of this practical guide to machine learning and data mining is fully updated to account for technological advances since its previous printing in 2005 and is now even more closely aligned with the use of the Weka open source machine learning, data mining and data modeling application. Multi-instance learning 6.11. in computer science, both from the University of Waikato. Click here to check if anything new just came in. Readership Information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals, as well as professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Login Create Account Help Order Status . Writing new learning schemesReferencesIndex Kundenbewertungen Schreiben Sie eine Kundenbewertung zu diesem Produkt und gewinnen Sie mit etwas Glck einen 15,- EUR bcher.de-Gutschein! eigene Bewertung schreiben mehr Bewertungen anzeigen Mehr aus der Kategorie eBooks > Fachbcher > Informatik > Knstliche IntelligenzSpracherkennung und -analyseMustererkennungExpertensystemeWissensbasierte SystemeRobotikComputerspieleNeuronale NetzeComputerlinguistikFuzzy-LogikEvolutionre Algorithmen bcher.de bei: facebook twitter instagram google+ Pinterest Blog RSS Feed bcher.de 2016 *Alle Preise verstehen sich inkl.

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