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Statistical and Machine-learning Data Mining : Techniques for Better Predictive Modeling and Analysis of

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About this item

The third edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. is a compilation of new and creative data mining techniques, which address the scaling-up of the framework of classical and modern statistical methodology, for predictive modeling and analysis of big data. SM-DM provides proper solutions to common problems facing the newly minted data scientist in the data mining discipline. Its presentation focuses on the needs of the data scientists (commonly known as statisticians, data miners and data analysts), delivering practical yet powerful, simple yet insightful quantitative techniques, most of which use the "old" statistical methodologies improved upon by the new machine learning influence.

Number of Pages: 544
Genre: Computers + Internet, Mathematics
Format: Hardcover
Publisher: Taylor & Francis
Author: Bruce Ratner
Language: English
Street Date: April 15, 2017
TCIN: 51993163
UPC: 9781498797603
Item Number (DPCI): 248-39-1339
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$99.95
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