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Tuesday, March 19, 2013
 

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  LISA Statistics Short Course: Data Mining Basics  
(Academic)

LISA SHORT COURSES IN STATISTICS
LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. See www.lisa.stat.vt.edu/?q=short_courses for instructions on how to REGISTER and to learn more.

Spring 2013 Schedule:
January 29: Designing Experiments and Collecting Useful Data*;
February 5: A Tutorial in T-Tests and ANOVA in JMP*;
February 12: Regression Analysis Using JMP*;
February 18: Introduction to R, Part I;
February 19: Introduction to R, Part I;
February 25: Introduction to R, Part II;
February 26: Introduction to R, Part III;
March 5: How to make plots to tell the story of your data;
March 18: Data Mining Basics;
March 19: Data Mining Basics;
March 26: Classification and Regression Trees (CART);
*These courses will be held in the GLC Room G, all other courses are in 3060 Torgersen Hall.

Tuesday, March 19; 4:00-6:00 pm;
Instructor: Marcos Carzolio;
Title: Data Mining Basics;
Course Information:
Data mining is a growing field of research at the nexus of computer science and statistics. With the advent of the Internet and remote sensing, the challenges of manipulating and learning from big data have taken an increasingly prominent role in modern research. This short course will cover the fundamentals of the statistical aspects of data mining, from regression and classification to clustering and neural networks. Students should expect to leave the course with a broad understanding of the tools of statistical learning, along with a handful of references for the application of more advanced methods.

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More information...


Location: 3060 Torgersen Hall
Price: Free
Contact: Tonya Pruitt
E-Mail: lisa@vt.edu
540-231-8354
   
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