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Feature Engineering Studio

Feature Engineering Studio. November 18, 2013. IDEO: Brainstorming. What did you like about the IDEO brainstorming process? (You can refer back to your essays). Tell some stories. Please tell some stories about past successful/good brainstorming you engaged in

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Feature Engineering Studio

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  1. Feature Engineering Studio November 18, 2013

  2. IDEO: Brainstorming • What did you like about the IDEO brainstorming process? • (You can refer back to your essays)

  3. Tell some stories • Please tell some stories about past successful/good brainstorming you engaged in • Did it match the IDEO process?

  4. IDEO: Brainstorming • What did you dislike about the IDEO brainstorming process? • (You can refer back to your essays)

  5. Tell some stories • Please tell some stories about past unsuccessful/bad brainstorming you engaged in • Was it bad because it went against IDEO suggestions? • Was it bad because it followed IDEO suggestions? • Or was it bad for other reasons?

  6. Discussing Assignment 9 • Do you think the ideas in this book about how to brainstorm are good in general? What’s good in specific? What’s bad in specific?

  7. Questions? Comments?

  8. Assignment 10 • Problem Shift “The Fresh Mind”

  9. Assignment 10 • 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

  10. Assignment 10 • Write a report that discusses your process • You don’t need to prepare a presentation • But be ready to discuss your work in class

  11. 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 “RYAN7” means

  12. 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 “RYAN7” means • (Isn’t it obvious? It’s the 7th variable that I made for Ryan’s class)

  13. Data Sharing Snafu • http://www.youtube.com/watch?v=N2zK3sAtr-4

  14. Upcoming Classes • 11/20 No special session today • 11/25 Collaboration in feature engineering • 11/27 No special session today • 12/2 Sustained Iteration Part One

  15. Upcoming Classes • Would folks like a special session on anything? I’m open to discussing anything you’d find useful

  16. Thank you!

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