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Data Mining: Practical Machine Learning Tools and Techniques

Infohash:

BE5705A5A8523B81622889F9435A238DE1F163ED

Type:

Other

Title:

Data Mining: Practical Machine Learning Tools and Techniques

Category:

Other/E-books

Uploaded:

2011-07-11 (by _F1_)

Description:

By request: annabelle31 at 2011-07-10 21:43 CET: Perhaps you also have "Data Mining: Practical Machine Learning Tools and Techniques, 3rd edition" by Witten et al, and "Introduction to Data Mining" by Pang-Ning et al? ----------------------------------------------------------------------------------- Ian H. Witten, Eibe Frank, Mark A. Hall , "Data Mining: Practical Machine Learning Tools and Techniques, Third Edition " M.rgan K.fmann | 2011 | ISBN: 0123748569 | 664 pages | PDF | 5.9 MB Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. 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. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. *Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects *Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods *Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks-in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

Tags:

  1. e-book
  2. pdf
  3. computer
  4. programming
  5. development

Files count:

1

Size:

5.91 Mb

Trackers:

udp://tracker.openbittorrent.com:80
udp://open.demonii.com:1337
udp://tracker.coppersurfer.tk:6969
udp://exodus.desync.com:6969

Comments:

annabelle31 (2011-07-12)

Thank you! I've been looking for this a long time.
You never cease to amaze me.