In Production: The 2008 2-Day Course on DVD
“Tools for Discovering Patterns in Data: A Survey of Modern Data Mining Algori...
Comments from previous attendees:
• "[Dr. Elder] provided examples shedding light on complex concepts. He gave the
...
of 2

Pricing information

Published on: Mar 4, 2016
Source: www.slideshare.net


Transcripts - Pricing information

  • 1. In Production: The 2008 2-Day Course on DVD “Tools for Discovering Patterns in Data: A Survey of Modern Data Mining Algorithms” Could not make it to this year’s conference? Would like to save money by still hearing the conference without attending? Then place your order for a copy of the DVD for the 2008 2-Day Conference. The DVD is currently being worked on, so let us know if you are interested by sending an email to David Newman, newman@datamininglab.com. If you would like subtitles in another language, please include that request in the email. Course Description: Find the useful information hidden in your data! This course surveys computer-intensive methods for inductive classification and estimation, drawn from Statistics, Machine Learning, and Data Mining. Dr. Elder will describe the key inner workings of leading algorithms, compare their merits, and (briefly) demonstrate their relative effectiveness on practical applications. We'll first review classical statistical techniques, both linear and nonparametric, then outline the ways in which these basic tools are modified and combined into more modern methods. The course pays particular attention to four powerful topics: modern algorithms (such as Neural Networks and Decision Trees), Resampling, Visualization, and Ensembles. Actual scientific and business examples illustrate practical techniques employed by expert analysts. Along the way, major relative strengths and distinctive properties of the leading commercial software products for Data Mining will be discussed. Instructor: John Elder is Chief Scientist of Elder Research Inc., a Data Mining consulting firm in Charlottesville, Virginia. He has over twenty years of experience developing and applying adaptive, data-driven techniques to practical problems - at an engineering consulting firm, an investment management company, Rice University, and the University of Virginia. Dr. Elder has written and spoken widely on pattern discovery topics, is active on statistical and engineering journals and boards, and has authored some influential data mining tools. His practical experience with commercial applications - including credit scoring, direct marketing, sales forecasting, market timing, and fraud detection - help illustrate the course concepts. Intended Audience: Those from industry and academia who work with data and wish to understand recent developments in pattern discovery, data mining, and inductive modeling. At the conclusion of this course, one should be able to discern the basic strengths of competing methods and select the appropriate tools for one's applications. Participants should have prior working experience with computers and interest in applied statistical techniques. (It helps, as well, to have a motivating application you wish to solve.)
  • 2. Comments from previous attendees: • "[Dr. Elder] provided examples shedding light on complex concepts. He gave the big picture all along the way." • "Gave real practical insights from a practitioner's point of view." • "Finally someone told me how things are done, not just how great Data Mining is." • "Most valuable, were the insights into the essence of various methods, their relative strengths and weaknesses, and the important open research areas." • "Very interesting, knowledgeable, and entertaining approach."

Related Documents