Data Mining: Practical Machine Learning Tools and Techniques, 4th Edition, (PDF) uses an extensive grounding in artificial intelligence principles, together with practical suggestions on using these tools and techniques in genuine- world data mining scenarios. This extremely waited for 4th edition of the most well-known deal with data mining and artificial intelligence teaches readers whatever they require to understand to start, from preparing inputs, analyzing outputs, examining outcomes, to the algorithmic approaches at the core of effective data mining methods. Extensive updates reveal the technical modifications and modernizations that have actually happened in the field after the last edition, consisting of crucial brand-new chapters on probabilistic approaches and on deep learning. Accompanying the ebook is a brand-new variation of the prominent WEKA machine learning software application from the University ofWaikato Authors Frank, Witten, Hall, and Pal i nclude today’s techniques incorporated with the approaches at the leading edge of modern research study. NOTE: The item only consists of the ebook, Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition inPDF No access codes are consisted of.
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Data Mining: Practical Machine Learning Tools and Techniques (4th Edition) – PDF
eBook details
- Authors: Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal
- File Size: 7 MB
- Format: PDF
- Length: 665 pages
- Publisher: Morgan Kaufmann; 4th edition
- Publication Date: October 1, 2016
- Language: English
- ASIN: B01MG31RL3
- ISBN-10: 0128042915, 0123748569
- ISBN-13: 9780128042915, 9780123748560
Original price was: $47.28.$12.00Current price is: $12.00.
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