Supercharging Prediction: Hands-On Data Mining Workshop at Predictive Analytics World
SAN FRANCISCO, March 28, 2013 -- An exciting and informative new workshop titled "Supercharging Prediction: Hands-On with Ensemble Models" will be incorporated into the conference program for Predictive Analytics World (PAW) in San Francisco on Wednesday, April 17, 2013.
Dean Abbott, president of Abbott Analytics, will instruct this course which is sponsored by Salford Systems. The key concepts covered during this workshop can be applied to many predictive analytics projects regardless of the software employed. During this workshop's hands-on experience, Salford System's SPM® suite will be used. The SPM software suite is a state-of-the art software package known for its capabilities in building model ensembles. A license will be made available to participants for use on that day (included with workshop registration).
The intended audience for this full-day course includes practitioners and analysts who would like to learn how to build and gain insight from model ensembles using state-of-the-art data mining software tools. Also, technical managers and project leads who are responsible for developing predictive analytics solutions and want to understand the potential value and limitations of model ensembles will gain key insights from this workshop.
Once you know the basics of predictive analytics including data exploration, data preparation, modeling building, and model evaluation, what can be done to improve model accuracy? One key technique is the use of model ensembles, which "groups" or "rolls up" models into a single, usually-better model. Are model ensembles an algorithm or an approach? How can one understand the influence of key variables in the ensembles? Which options affect the ensembles most? This workshop dives into the key ensemble approaches including Bagging, Random Forests, and Stochastic Gradient Boosting. Attendees will learn "best practices" and attention will be paid to learning and experiencing the influence various options have on ensemble models so that attendees will gain a deeper understanding of how the algorithms work qualitatively and how one can interpret resulting models. Attendees will also learn how to automate the building of ensembles by changing key parameters.
- Software installation (if not already installed): 8:30am
- Workshop program starts at 9:00am
- Morning Coffee Break at 10:30 - 11:00am
- Lunch provided at 12:30 - 1:15pm
- Afternoon Coffee Break at 2:30 - 3:00pm
- End of the Workshop: 4:30pm
Registration and pricing: http://www.predictiveanalyticsworld.com/sanfrancisco/register.php
About the Instructor
Dean Abbott is President of Abbott Analytics in San Diego, California. Mr. Abbott has over 21 years of experience applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems, including fraud detection, risk modeling, text mining, response modeling, survey analysis, planned giving, and predictive toxicology. In addition, Mr. Abbott serves as chief technology officer and mentor for start-up companies focused on applying advanced analytics in their consulting practices.
About Salford Systems
Founded in 1983, Salford Systems specializes in providing new generation data mining and choice modeling software and consultation services. Applications in both software and consulting span market research segmentation, direct marketing, fraud detection, credit scoring, risk management, bio-medical research and manufacturing quality control. Industries using Salford Systems products and consultation services include telecommunications, transportation, banking, financial services, insurance, health care, manufacturing, retail and catalog sales, and education. Salford Systems software is installed at more than 3,500 sites worldwide, including 300 major Universities.