2001, ISBN: 9780128042915
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ISBN: 9780128042915
Data Mining: Practical Machine Learning Tools and Techniques. Ian H. Witten,Eibe Frank,Mark A. Hall,Christopher J. Pal. Autore: Ian H. Witten,Eibe Frank,Mark A. Hall,Christopher J. Pal. D… Mehr…
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2016, ISBN: 0128042915
[EAN: 9780128042915], Neubuch, [PU: Morgan Kaufmann], Books
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2001, ISBN: 9780128042915
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Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) - Taschenbuch
2016, ISBN: 0128042915
[EAN: 9780128042915], Neubuch, [PU: Morgan Kaufmann], Buy for Great customer experience, Books
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2001, ISBN: 9780128042915
Taschenbuch
[ED: Taschenbuch], [PU: Elsevier LTD], Neuware - Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, al… Mehr…
ISBN: 9780128042915
Data Mining: Practical Machine Learning Tools and Techniques. Ian H. Witten,Eibe Frank,Mark A. Hall,Christopher J. Pal. Autore: Ian H. Witten,Eibe Frank,Mark A. Hall,Christopher J. Pal. D… Mehr…
2001, ISBN: 9780128042915
[ED: Taschenbuch], [PU: Elsevier LTD], Neuware - Rev. edition of: Data mining: practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall. c2013., DE, Neuwa… Mehr…
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Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at http://www.cs.waikato.ac.nz/ml/weka/book.html
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the bookOnline Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the bookTable of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projectsPresents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methodsIncludes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interfaceIncludes open-access online courses that introduce practical applications of the material in the bookDetailangaben zum Buch - Data Mining: Practical Machine Learning Tools and Techniques
EAN (ISBN-13): 9780128042915
ISBN (ISBN-10): 0128042915
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2016
Herausgeber: Morgan Kaufmann
Buch in der Datenbank seit 2016-12-27T13:59:15+01:00 (Vienna)
Detailseite zuletzt geändert am 2024-04-22T04:11:42+02:00 (Vienna)
ISBN/EAN: 9780128042915
ISBN - alternative Schreibweisen:
0-12-804291-5, 978-0-12-804291-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: frank, christoph witt, pal, morgan, witte, kaufmann, hall, witten, mark, christopher
Titel des Buches: system, data mining practical machine learning tools and techniques, morgan, fourth edition techniques, frankie machine, witten, data minning, eibe, management fun, systems art, practical vim, management series
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