Random Forest & Decision Trees using R

University of Colorado Denver - Tuesday January 14, 2013 @ 8:00pm MST Random Forest and Cart Decision Trees using R - Abstract Data Science using open source tools, building and evaluating models, using decision trees and ensemble methods such as random forest. This talk will cover the importance of data preparation and discuss a few algorithm implementations. Data science problems are not solved by just throwing together complex algorithms, advanced machinery, time, and data (and we already know the answer to that is 42). It takes creativity to prepare the analytic data sets, and the best algorithm to use depends on the data and the business question. Bio Jennifer Evans is a Data Scientist at Clickfox. She went to the Colorado school of Mines, studying Computer Science, Applied Mathematics and Engineering Physics. Clickfox is the leader in costumer experience journey analytics. Taking data from disparate sources, tying it together, and creating a unique individual costumer journeys across channel. The data science team provides analytics of a whole new kind of data at scale, with focus on building a software platform. The CEA Platform maps data across interaction channels and identifies the journeys that matter for the optimal decision-making on key business drivers.