PPT-Feature Engineering Studio

April 29 2015 Assignment Problem Shift The Fresh Mind Assignment Each of you who did this assignment How did you attempt to improve your colleagues model Was it successful Everyone close your eyes. Special Session. January 26, 2015. Assignment One. Problem Proposal. Due next Monday. Be ready to talk for 3 minutes on:. A data set. Give where it came from and how big it is. You need to already have this data set, or be able to acquire it in the next two weeks. March 30, 2015. Iterative Feature Refinement. Who here. Used the Excel Equation Solver. Did not use the Excel Equation Solver. Excel Equation Solver Users. Sort yourself by the town you were born in (in Roman letters). September 23, 2013. Welcome to . Mucking Around Day. Sort into pairs. Partner with the person next to you. One group of 3 is allowed. Sort into pairs. Do we have a group of 3?. One of the 3 will work with me. September 9, 2013. Welcome to . Problem Proposal Day. Rules for Presenters. Rules for the Rest of the Class. Rules for Presenters. Talk for 3 minutes on:. Data set. What variable will you predict?. What kind of variables will you use to predict it?. February 2, 2015. Welcome to . Problem Proposal Day. Rules for Presenters. Rules for the Rest of the Class. Rules for Presenters. Talk for 3 minutes on:. Data set. What variable will you predict?. What kind of variables will you use to predict it?. Ambitio us Ingenio us Prestigio us Adventuro us Curio us Studio us The College of Engineering We are committed to innovation in all aspects of engineering education and research. We deliver an acc December 2, 2013. Assignment 11. The Slog. Part One. Drawings. Votes for Best Slog. On paper please. You can vote for anyone except yourself. And the best slog is…. Did it help you at all? . To draw The Slog…. Data Mining. EDUC545. Spring 2017. Last Lecture. Slides 34-36. Textbook part 1. Pelanek. example. W002V004v5. Who would like me to . review this?. Feature Engineering . Not just throwing spaghetti at the wall and seeing what sticks. September 23, 2013. Welcome to . Mucking Around Day. Sort into pairs. Partner with the person next to you. One group of 3 is allowed. Sort into pairs. Do we have a group of 3?. One of the 3 will work with me. September 30, 2013. Quick Note. Please email me for appointments rather than just showing up at my office. I’m always glad to talk, but I have a lot of meetings and deadlines. Also, my lab is overly full, as I have an 8-person space and 14 people working for me. Data Mining. EDUC545. Spring 2017. Last Lecture. Slides 34-36. Textbook part 1. Pelanek. example. W002V004v5. Who would like me to . review this?. Feature Engineering . Not just throwing spaghetti at the wall and seeing what sticks. September 30, 2013. Quick Note. Please email me for appointments rather than just showing up at my office. I’m always glad to talk, but I have a lot of meetings and deadlines. Also, my lab is overly full, as I have an 8-person space and 14 people working for me. November . 25, . 2013. Assignment 10. Problem Shift “The Fresh Mind”. Assignment 10. Each of you who did assignment 10. How did you attempt to improve your colleague’s model?. Was it successful?. Feature Engineering Geoff Hulten Overview Feature engineering overview Common approaches to featurizing with text Feature selection Iterating and improving (and dealing with mistakes) Goals of Feature Engineering