Elder Research Course: Tools for Discovering Patterns in Data, Sep 9-10, Charlottesville, VA
Drawing on 20 years of experience, Dr. John Elder will explain powerful analytic methods for classification and estimation, compare the leading algorithms, and demonstrate their effectiveness on practical applications.
Elder Research is presenting a 2-day course, Tools for Discovering Patterns in Data: Extracting Value from Tables, Text, and Links, on September 9-10 in Charlottesville, VA. Drawing on 20 years of experience, Dr. John Elder will explain techniques employed by experts to solve challenging problems.
The course description is at datamininglab.com/training/annual-2-day-course
Attendees will receive the 864-page book, Handbook of Statistical Analysis and Data Mining Applications, by Drs. Nisbet, Elder, and Miner, winner of the 2009 PROSE Award in Mathematics. It includes fully functional (limited time) data mining software from SAS, IBM/SPSS, and StatSoft.
This course describes powerful analytic methods for classification and estimation drawn from Statistics and Data Mining. Dr. Elder will explain leading algorithms, compare their merits, and demonstrate their effectiveness on practical applications. We’ll review classical statistical techniques, and outline how they are modified and combined into modern methods. The course emphasizes practical advice and the essential techniques of Resampling, Visualization, and Ensembles. Actual scientific and business examples illustrate techniques employed by expert analysts. Key aspects of mining text and links will also be outlined, and major strengths of leading commercial software tools for Data Mining will be compared.
While attending the course, enjoy your stay in beautiful and historic Charlottesville, Virginia.
If you have any questions, let me help.
Elder Research, Inc.
email@example.com, (434) 973-7673
P.S. John Elder will also be teaching 1-to-3-day courses on analytics in October in:
Also, ERI’s Director of Research Dr. Andrew Fast will be teaching a 1-day workshop on Making Text Mining Work: Practical Methods and Solutions in Boston, Massachusetts on October 2. Attendees at that workshop will receive a copy of the new ~1,100-page handbook, Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, co-authored by Andrew Fast and John Elder (along with Drs. Miner, Delen, Hill, and Nisbet), which won the 2012 PROSE Award for Computing and Information Sciences. Click here for a two-page brochure about the book, or here to view a sample chapter.