Predicting future trends and behaviors – from the epic to the everyday – allows for proactive, knowledge-driven decisions. According to the Harvard Business Journal and Fortune magazine a career as a data scientist is “the” job to have in the 21st century. At the same time, it underscores the high demand for a talented, qualified STEM (science, technology, engineering, & mathematics) workforce. The San Diego Supercomputer Center (SDSC) at UC San Diego launched the Predictive Analytics Center of Excellence (PACE) to leverage SDSC’s data-intensive expertise and resources to help create the 21st century workforce of data researchers by leading a collaborative, nationwide education and training effort among academia, industry, and government.
The PACE series of Boot Camps are designed to provide professionals in business enterprises and scientific communities with the skills critical to design, build, verify and test predictive data models.
Data mining –– the art and science of learning from data –– covers a number of different procedures. This hands-on course emphasizes key learning techniques: decision trees, numeric prediction, clustering, Bayesian learning, artificial neural networks (ANNs), support vector machines (SVMs), etc. Participants will have access to a comprehensive set of data mining tools available on SDSC’s Gordon, one of the world’s most innovative 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.