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Exploring Weak Models: Boosting & Dimensionality Reduction in Data Analytics

Join us for Week 12b of ITWS-4963/ITWS-6965, where we delve into weak models through boosting and dimensionality reduction techniques. Participate in hands-on lab sessions designed to enhance your understanding of these concepts with practical R scripts. We’ll cover output analysis and interpretation in our next session. Please ensure to complete the required reading on predictive analytics beforehand. Don’t miss out on valuable insights from our instructor, Peter Fox, and our TA, Lakshmi Chenicheri.

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Exploring Weak Models: Boosting & Dimensionality Reduction in Data Analytics

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  1. Lab: More on weak models (boosting) and dimensionality reduction and some reading… Peter Fox Data Analytics – ITWS-4963/ITWS-6965 Week 12b, April 18, 2014

  2. Scripts in the usual place Lab 12b_{1-9}_2014.R (no #5) • Work through them and we’ll cover output/ results and interpretation next Tuesday Boosting and Dimension Reduction Reading (do this in class if possible and before next week): http://data-informed.com/focus-predictive-analytics/

  3. Admin info (keep/ print this slide) • Class: ITWS-4963/ITWS 6965 • Hours: 12:00pm-1:50pm Tuesday/ Friday • Location: SAGE 3101 • Instructor: Peter Fox • Instructor contact: pfox@cs.rpi.edu, 518.276.4862 (do not leave a msg) • Contact hours: Monday** 3:00-4:00pm (or by email appt) • Contact location: Winslow 2120 (sometimes Lally 207A announced by email) • TA: Lakshmi Chenicheri chenil@rpi.edu • Web site: http://tw.rpi.edu/web/courses/DataAnalytics/2014 • Schedule, lectures, syllabus, reading, assignments, etc.

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