Predictive Models with PMML Workshop,Oct 24-25, San Diego
The Predictive Model Markup Language (PMML) is the de facto standard to represent data mining and predictive analytic models. This hands-on workshop will explore how the PMML language allows for models to be deployed in minutes.
PMML Workshop Overview:
October 24-25, 2013
San Diego Supercomputer Center (SDSC),
UC San Diego Campus
Cost: $995 (Zementis scholarships available - see below).
The Predictive Model Markup Language (PMML) is the de facto standard to represent data mining and predictive analytic models. With PMML, one can easily share a predictive solution among PMML-compliant applications and systems.
Developed in partnership with the San Diego Supercomputer Center's (SDSC) Predictive Analytics Center of Excellence (PACE), this 2-day, hands-on workshop, will explore how the PMML language allows for models to be deployed in minutes. You will get to know its business value and the data mining tools and companies supporting PMML. You will also begin to understand the language elements and capabilities and learn how to effectively extract the most out of your PMML code.
- Practice PMML on SDSC's Gordon with the guidance of world class instructors from industry and academia.
- Learn how to represent an entire data mining solution using open-standards
- Understand how to use PMML effectively as a vehicle for model logging, versioning and deployment
- Identify and correct issues with PMML code as well as add missing computations to auto-generated PMML code
- PLUS ... Receive a comprehensive tour of SDSC to discover its inner workings, extensive capabilities and current projects.
- Alex Guazzelli, Ph.D., Vice President of Analytics, Zementis, Inc.
- Natasha Balac, Ph.D., Director of PACE, SDSC, UC San Diego
- Paul Rodriguez, Ph.D., Research Programmer Analyst, SDSC, UC San Diego
Thanks to the generous underwriting of Zementis, three (3) half-tuition scholarships are available. Learn more and apply (application deadline is October 4, 2013).
Note: Students should have a fundamental knowledge of data mining methods and basic experience with computer programming language. Students must bring a laptop (MAC or PC) each day to fully participate during the hands-on portion of the workshop.
Course Number: CSE-41184 Credit: 2 units
This course is part of the Data Mining Certificate Program.