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“In this webinar, we use a straightforward, practical example to illustrate some of the key characteristics and differences of modern data mining techniques generally known as decision trees and ensembles of trees.”
Mikhail Golovnya
The most effective approach to win predictive analytics ‘data’ competitions and producing highly accurate predictive models is the use of model ensembles, a technique that combines predictions from multiple models into a single score.
Dean Abbott
Ensemble learning has revolutionized the theory and the practice of contemporary data mining and every practitioner should have a solid understanding of the approach.
Dan Steinberg
“This session should be an interesting one and hopefully will shed some light on what is hype and what is real with respect to ‘Big Data’ issues.
Dan Steinberg
Understanding modern data mining and deploying advanced predictive analytics has become a top priority across industries and in academic research,” said Mikhail Golovnya, Senior Scientist at Salford Systems. “The objective of the Salford Analytics and Data Mining Conference is to bring to the forefront the real issues and implications of data mining and we are excited to have some of the most prominent scientists and leaders such as Dr. Cutler to share their insights and experience with the data mining community.”
Mikhail Golovnya, Senior Scientist at Salford Systems
“SPM lets you start an analysis with as few as three mouse clicks referencing data stored in conventional flat files (text, Excel, statistical packages) and databases (via ODBC),” explains Salford Systems’ CEO Dan Steinberg. “Visual displays help make all results straightforward to understand and digest, and going from investigation to a deployed model can also be accomplished in three or four mouse clicks.”
Dan Steinberg
“We also offer classroom training in various locations across the U.S. throughout the year,” adds Steinberg. “Our next training is scheduled for May 2012 in San Diego in conjunction with our 7th Analytics and Data Mining Conference.”
Dan Steinberg
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