About the PACE Data Mining Bootcamp 2
While modern databases can contain massive volumes of data, researchers are confronted with a virtual obstacle course in order to extract meaningful predictive information from within these records. During the two-day PACE Data Mining Boot Camp participants will receive the basic training to learn effective predictive analytic strategies associated with the growing discipline of data mining, a process that uses a variety of data analysis tools to discover patterns and relationships in data that may contribute to valid predictions. Predicting future trends and behaviors allows for proactive, knowledge-driven decisions.
The PACE Boot Camp 2 is designed to provide individuals in business enterprises and scientific communities with improved tactics critical to design, build, verify, and test advanced predictive data models. Data mining—the art and science of learning from data—covers a number of different procedures. 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. During the hands-on sessions PACE instructors will help participants hone their new skills to conquer technical obstacles to achieve their objectives. Boot Camp 2 participants will have access to a comprehensive set of data mining tools available on SDSC’s Gordon, one of the world’s most powerful supercomputers with 300 Terabytes of flash memory. Moreover, with access to this computing resource, participants will be able to sharpen their skills, apply data mining algorithms to real data, and interpret the results.
Attendees will leave Boot Camp 2 with an arsenal of ideas and on a steady path to becoming a data scientist.
The spring PACE Data Mining Bootcamp 2 will take place May 2014 at the San Diego Supercomputer Center on the campus of the University of California, San Diego.
SDSC is a world leader in innovating, providing and using information technology to enable advances and discoveries in science and engineering.
Focusing on data-oriented and computational applications, SDSC serves both the National Science Foundation (NSF) and broader community as a national and international center for data cyberinfrastructure through its software, hardware, and human resources.