PACE Data Mining Boot Camps, Oct 15-16, San Diego
The PACE Boot Camps provide conceptual and hands-on training for the critical predictive data analytics techniques that help discover actionable patterns in Big Data. Reg by Oct 10 for a discount.
Data Mining Boot Camps
Learn How to Organize, Validate, Analyze & Visualize Your Data
PACE: Predictive Analytics
Center of Excellence
Each day, our society creates 2.5 quintillion bytes of data (that's 2.5 followed by 18 zeros). Conventional statistical analysis and business intelligence software are not designed to capture, curate, manage and process large quantities of data generated by most enterprises.
Learn the critical predictive data analytics techniques and tools that contribute to accurate, actionable and agile insights. Boot Camp training includes:
- Overview: Data Mining, Machine Learning, and Statistics
- Overview of CRISP-DM: Cross Industry Standard Process for Data Mining
- Introduction to Data Mining Tools
- Preprocessing the Data
- Learning Algorithms Implementations
- Model Evaluation and Validation
- Data Mining Trends, Applications and Guidelines
The PACE Boot Camps provide the Big Data community with conceptual and hands-on training for the critical predictive data analytics techniques that help discover patterns and relationships which in turn contribute to accurate, actionable and agile insights.
Register now for Data Mining Boot Camp 2
to be held October 15-16, 2014
at the San Diego Supercomputer Center, UC San Diego
Register by October 10, 2014 to receive a $200 discount
on the $1,295 fee. Enter code PACE200.
About San Diego Supercomputing Center
For over 25 years, SDSC has been at the forefront of new trends and developments in high-performance and data-intensive computing. SDSC's large-scale data systems include Data Oasis, a 5 petabyte parallel file system; the SDSC Cloud, consisting of 5.5 petabytes of disk (with replication); and the Gordon system with 64 terabytes aggregate memory, 300 terabytes flash memory, and 341 teraflops of computing power.