PACE SuperComputer Data Mining Boot Camps, San Diego

The first bootcamp will cover key learning techniques: classification, regression, association rules, and clustering. The second will cover advanced learning techniques Neural Nets, SVM, Text Mining, and Collaborative Filtering.



These bootcamps are organized by SDSC Pace
Predictive Analytics Center of Excellence (PACE)

SDSC at University of California, San Diego

PACE Data Mining Boot Camp 1 - January 23-24, 2013

SDSC's Predictive Analytics Center of Excellence (PACE) will hold a 2-day Boot Camp designed to provide individuals in business enterprises and scientific communities with improved tactics critical to design, build, verify, and test predictive data models. This hands-on course emphasizes key learning techniques: classification, regression, association rules, and clustering. This Boot Camp is designed to be a stepping stone to Boot Camp 2. Educational rate offered.

For more information on Boot Camp 1:
pace.sdsc.edu/sites/default/bootcamp/index.html

PACE Data Mining Boot Camp 2 - February 7-8, 2013

SDSC's Predictive Analytics Center of Excellence (PACE) is offering Boot Camp 2 designed as a follow-on from Boot Camp 1 to provide individuals in business enterprises and scientific communities with improved tactics critical to design, build, verify, and test advanced predictive data models. This hands-on course emphasizes advanced learning techniques including Artificial Neural Networks (ANNs), Support Vector Machines (SVM), Text Mining, Collaborative Filtering, Bayesian Networks and Temporal Data Mining. Educational rate offered.

For more information on Boot Camp 2:
pace.sdsc.edu/sites/default/bootcamp2/index.html

About PACE
The Predictive Analytics Center of Excellence (PACE) strives to promote, educate, and innovate in the area of predictive analytics to enhance the social and economic wellbeing of the global population. Our objective is to develop and incite a new, multi-level curriculum that engages a broad spectrum of individuals from diverse educational and institutional backgrounds to explore the power of predictive analytics and to accelerate cooperation among government, industry and academia.