After the Poster Session

Assignment 11

• Problem Shift “The Fresh Mind”

Assignment 11

• Your goal is to take someone else’s data set from the class

• And improve their model any way you can– Could be new features (preferred option!)– Could be a different statistical/data mining

framework

Assignment 11

• Write a report that discusses your process• You don’t need to prepare a presentation• But be ready to discuss your work in class

Assignment 11

• You will be graded both on – Your work on the new data set– Whether you obstructed someone from working

on your data set• You won’t be graded on whether they do a good job

with your data• But you will be graded down if they don’t get your data

until Saturday night, or if you don’t give it to them in a usable form, or if you don’t explain what “RYAN7” means

Assignment 10

• You will be graded both on – Your work on the new data set– Whether you obstructed someone from working

on your data set• You won’t be graded on whether they do a good job

with your data• But you will be graded down if they don’t get your data

until Saturday night, or if you don’t give it to them in a usable form, or if you don’t explain what “SAM3” means

Readings for next class

• Fischer, G. (2004) Social Creativity: Turning Barriers into Opportunities for Collaborative Design. Proceedings of the Participatory Design Conference (PDC’04), 152-161.

• Veeramachaneni, K., O’Reilly, U., Taylor, C. (2014) Towards feature engineering at scale for data from massive open online courses. arXiv preprint 1407.5238.

Upcoming classes

• 4/29 Collaboration in Feature Engineering

• 5/4 Special Session: Python

• 5/6 Sustained Iteration