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.

1. machine learning in practice
metis 2015.10.20

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. origins of ambiguity
many feasible approaches

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. 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

7. a few case studies

8. data-driven expertise exploration
procter & gamble

9. data-driven expertise exploration
procter & gamble

10. data-driven expertise exploration
procter & gamble

11. 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

12. data-driven expertise exploration
procter & gamble

13. data-driven expertise exploration
procter & gamble

14. data-driven expertise exploration
procter & gamble

15. data-driven expertise exploration
procter & gamble

16. data-driven e-discovery
daegis

17. aboutpatent
not
aboutpatent
data-driven e-discovery
daegis

18. aboutpatent
not
aboutpatent turn over to plaintiff
don’t
turn over to plaintiff
adverse inference
data-driven e-discovery
daegis

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. aboutpatent
not
aboutpatent turn over to plaintiff
don’t
turn over to plaintiff
adverse inference
give away trade secrets
data-driven e-discovery
daegis

21. turn over to plaintiff
don’t
turn over to plaintiff
data-driven e-discovery
daegis

22. data-driven e-discovery
daegis

23. create a “document map”
algorithm design
patents
marketing
finances
fantasy football
lunch
coffee
data-driven e-discovery
daegis

24. 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

25. data-driven e-discovery
daegis

26. data-driven e-discovery
daegis

27. 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

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. 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. 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. 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

32. data-driven privacy
scrubadub

33. 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

34. 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

35. 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

36. government acronym
part number
bus route
• • •
name
phone number
email address
• • •
data-driven privacy
scrubadub
general
purpose
custom

37. machine learning in practice
novelty by design