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After the Poster Session

Explore improving a classmate's data model creatively. Write a detailed report showcasing your process and enhancements made to the data set. No presentation required, discussion in class necessary.

philip-donovan
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After the Poster Session

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Presentation Transcript

  1. After the Poster Session

  2. Assignment 11 • Problem Shift “The Fresh Mind”

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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.

  8. Upcoming classes • 4/29 Collaboration in Feature Engineering • 5/4 Special Session: Python • 5/6 Sustained Iteration

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