Description
Data Mining (4th Ed.)
Practical Machine Learning Tools and Techniques
Authors: Witten Ian H., Frank Eibe, Hall Mark A., Pal Christopher J.
Language: EnglishSubjects for Data Mining:
Keywords
< P> Data mining< /P> < P> Machine learning< /P> < P> Deep Learning< /P> < P> WEKA< /P> < P> Probabilistic methods< /P>
Approximative price 66.19 €
In Print (Delivery period: 14 days).
Add to cart the book of Witten Ian H., Frank Eibe, Hall Mark A., Pal Christopher J.620 p. · 19x23.4 cm · Paperback
Description
/li>Contents
/li>Readership
/li>Biography
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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.
. 1. What’s it all about?
. 2. Input: Concepts, instances, attributes
. 3. Output: Knowledge representation
. 4. Algorithms: The basic methods
. 5. Credibility: Evaluating what’s been learned
Part II. More advanced machine learning schemes
. 6. Trees and rules
. 7. Extending instance-based and linear models
. 8. Data transformations
. 9. Probabilistic methods
. 10. Deep learning
. 11. Beyond supervised and unsupervised learning
. 12. Ensemble learning
. 13. Moving on: applications and beyond
- Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
- Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
- Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
- Includes open-access online courses that introduce practical applications of the material in the book