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Data Mining: Practical Machine Learning Tools and Techniques (4th Edition) – eBook

$47.28 $13.00

eBook details

  • Authors: Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal
  • File Size: 6 MB
  • Format: PDF
  • Length: 633 pages
  • Publisher: Morgan Kaufmann; 4th edition
  • Publication Date: October 1, 2016
  • Language: English
  • ASIN: B01MG31RL3
  • ISBN-10: 0128042915
  • ISBN-13: 9780128042915
SKU: data-mining-practical-machine-learning-tools-and-techniques-4th-edition-ebook Categories: , , , Tags: , Product ID: 6598

Description

Data Mining: Practical Machine Learning Tools and Techniques, 4th Edition, (PDF) provides an extensive grounding in artificial intelligence principles, together with practical recommendations 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, translating 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 occurred in the field after the last edition, consisting of important brand-new chapters on probabilistic approaches and on deep learning. Accompanying the ebook is a brand-new variation of the popular WEKA machine learning software application from the University of Waikato. Authors Frank, Witten, Hall, and Pal include today’s techniques incorporated with the approaches at the leading edge of modern research study.

NOTE: The item just consists of the ebook, Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition in PDF. No gain access to codes are consisted of.

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