20151020 Metis

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Novel machine learning techniques comes from spending time with people that have distinct needs. This talk addresses how listening to end users can give rise to novel machine learning applications.

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20151020 Metis

  1. 1. machine learning in practice metis 2015.10.20
  2. 2. data science problems are ambiguous solve for x x = 5 + 2 projectevolution A x = b optimize f(x) optimize A x = b subject to f(x) > 0 optimize “our profitability”
  3. 3. origins of ambiguity many feasible approaches
  4. 4. origins of ambiguity unclear problems identify the best locations to plant new trees how many? what kinds of trees? move old trees? replace old trees? aesthetically pleasing? maximize growth? increase foliage? offset CO2 emissions?
  5. 5. scientific method hypothesis experimentmeasurement agile programming story/user cards write codeQA; requirements churn lean startup business requirements minimum viable productsplit testing, A/B testing human-centered design personas, use cases build device prototypessurveys, interviews, focus groups iterative problem solving anticipate refining your solution generate ideas build prototypeevaluation 1-4 week iterations
  6. 6. a few case studies
  7. 7. data-driven expertise exploration procter & gamble
  8. 8. data-driven expertise exploration procter & gamble
  9. 9. data-driven expertise exploration procter & gamble
  10. 10. Lorem Ipsum: a narrative about blankets. Author: Charlie Brown Date: 31 Jan 2012 Lorem Ipsum is a dummy text used when typesetting or marking up documents. It has a long history starting from the 1500s and is still used in digital millennium for typesetting electronic documents, page designs, etc. In itself, the original text of Lorem Ipsum might have been taken from an ancient Latin book that was written about 50 BC. Nevertheless, Lorem Ipsum’s words have been changed so they don’t read as a proper text. Naturally, page designs that are made for text documents must contain some text rather than placeholder dots or something else. However, should they contain proper English words and sentences almost every reader will deliberately try to interpret it eventually, missing the design itself. However, a placeholder text must have a natural distribution of letters and punctuation or otherwise the markup will look strange and unnatural. That’s what Lorem Ipsum helps to achieve. I would like to thank Peppermint Pattyfor her support on studying Lorem Ipsum as well as the infinite wisdom of Linus van Peltand his willingness to use his blanket in my experiments. data-driven expertise exploration procter & gamble
  11. 11. data-driven expertise exploration procter & gamble
  12. 12. data-driven expertise exploration procter & gamble
  13. 13. data-driven expertise exploration procter & gamble
  14. 14. data-driven expertise exploration procter & gamble
  15. 15. data-driven e-discovery daegis
  16. 16. aboutpatent not aboutpatent data-driven e-discovery daegis
  17. 17. aboutpatent not aboutpatent turn over to plaintiff don’t turn over to plaintiff adverse inference data-driven e-discovery daegis
  18. 18. aboutpatent not aboutpatent turn over to plaintiff don’t turn over to plaintiff adverse inference give away trade secrets data-driven e-discovery daegis
  19. 19. aboutpatent not aboutpatent turn over to plaintiff don’t turn over to plaintiff adverse inference give away trade secrets data-driven e-discovery daegis
  20. 20. turn over to plaintiff don’t turn over to plaintiff data-driven e-discovery daegis
  21. 21. data-driven e-discovery daegis
  22. 22. create a “document map” algorithm design patents marketing finances fantasy football lunch coffee data-driven e-discovery daegis
  23. 23. create a “document map” fantasy football algorithm design patents lunch marketing finances coffee review away shades of grey reduce reviews by 90-99% data-driven e-discovery daegis
  24. 24. data-driven e-discovery daegis
  25. 25. data-driven e-discovery daegis
  26. 26. data-driven privacy scrubadub Hey Bo, Our scrubadub project is available at 
 http://github.com/deanmalmgren/scrubadub and if anyone wants to help, they should totally swing by our office at Adams and Wells in Chicago (soon to be 17 N State) and pitch in. Of course, you can always just reach out on Twitter (@deanmalmgren), skype (dean.malmgren) or just about anything else for that matter. Hokey dokey. See you in a bit.
 Dean
  27. 27. Hey Bo, Our scrubadub project is available at 
 http://github.com/deanmalmgren/scrubadub and if anyone wants to help, they should totally swing by our office at Adams and Wells in Chicago (soon to be 17 N State) and pitch in. Of course, you can always just reach out on Twitter (@deanmalmgren), skype (dean.malmgren) or just about anything else for that matter. Hokey dokey. See you in a bit.
 Dean data-driven privacy scrubadub
  28. 28. Hey Bo, Our scrubadub project is available at 
 http://github.com/deanmalmgren/scrubadub and if anyone wants to help, they should totally swing by our office at Adams and Wells in Chicago (soon to be 17 N State) and pitch in. Of course, you can always just reach out on Twitter (@deanmalmgren), skype (dean.malmgren) or just about anything else for that matter. Hokey dokey. See you in a bit.
 Dean data-driven privacy scrubadub
  29. 29. Hey Bo, Our scrubadub project is available at 
 http://github.com/deanmalmgren/scrubadub and if anyone wants to help, they should totally swing by our office at Adams and Wells in Chicago (soon to be 17 N State) and pitch in. Of course, you can always just reach out on Twitter (@deanmalmgren), skype (dean.malmgren) or just about anything else for that matter. Hokey dokey. See you in a bit.
 Dean data-driven privacy scrubadub
  30. 30. Hey Bo, Our scrubadub project is available at 
 http://github.com/deanmalmgren/scrubadub and if anyone wants to help, they should totally swing by our office at Adams and Wells in Chicago (soon to be 17 N State) and pitch in. Of course, you can always just reach out on Twitter (@deanmalmgren), skype (dean.malmgren) or just about anything else for that matter. Hokey dokey. See you in a bit.
 Dean data-driven privacy scrubadub
  31. 31. data-driven privacy scrubadub
  32. 32. Hey {{NAME}}, Our {{NAME}} project is available at 
 {{URL}} and if anyone wants to help,
 they should totally swing by our office at {{ADDRESS}}
 (soon to be {{ADDRESS}}) and pitch in. Of course, you can always just reach out on Twitter ({{TWITTER}}), skype ({{SKYPE}}) or just about
 anything else for that matter. Hokey dokey. See you in a bit.
 {{NAME}} data-driven privacy scrubadub placeholders
  33. 33. Hey {{NAME-1}}, Our {{NAME-2}} project is available at 
 {{URL-1}} and if anyone wants to help,
 they should totally swing by our office at {{ADDRESS-1}}
 (soon to be {{ADDRESS-2}}) and pitch in. Of course, you can always just reach out on Twitter ({{TWITTER-1}}), skype ({{SKYPE-1}}) or just about
 anything else for that matter. Hokey dokey. See you in a bit.
 {{NAME-3}} data-driven privacy scrubadub unique identifiers
  34. 34. Hey Josie, Our bleckenschpiel project is available at 
 http://example.com/bleck and if anyone wants to help,
 they should totally swing by our office at 42nd & Broadway in New York
 (soon to be 30th & 8th) and pitch in. Of course, you can always just reach
 out on Twitter (@b3ujqw9), skype (xylophone1) or just about
 anything else for that matter. Hokey dokey. See you in a bit.
 Billy data-driven privacy scrubadub surrogate data
  35. 35. government acronym part number bus route •
•
• name phone number email address •
•
• data-driven privacy scrubadub general
 purpose custom
  36. 36. machine learning in practice novelty by design

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