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266732721
Data Mining: Practical Machine Learning Tools and Techniques
Item #:
266732721
QAR 311
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Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition... 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.
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Product Details
- Thorough grounding in machine learning concepts and practical advice for real world data mining
- Extensive updates reflecting modernizations and new chapters on probabilistic methods and deep learning
- Accompanied by a new version of the popular WEKA machine learning software from the University of Waikato
- Comprehensive teaching resource with Powerpoint slides, online appendix, and table of contents on book companion website
- Concrete tips and techniques for performance improvement in machine learning methods
- Includes downloadable WEKA software toolkit, open access online courses, and reviews of the 1st edition
| Publisher | Morgan Kaufmann |
| Publication date | November 17, 2016 |
| Edition | 4th |
| Language | English |
| Print length | 654 pages |
| ISBN-10 | 0128042915 |
| ISBN-13 | 978-0128042915 |
| Item Weight | 1.05 Kilograms |
| Dimensions | 7.5 x 1.48 x 9.25 inches (19.1 x 3.8 x 23.5 cm) |
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Data Mining: Practical Machine Learning Tools and Techniques
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English Edition Ian H. Witten Human Vision & Language Systems Editorial Review
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QAR 311
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Features & Benefits
- The book provides a thorough grounding in machine learning concepts and practical advice.
- Concrete tips and techniques improve machine learning methods.
- WEKA software toolkit can be downloaded.
- Open access online courses are available.
- Comprehensive teaching resources for the book available on the companion website.
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