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Big Data for Social Good
Using Kaggle for Business and Social Impact
Peter Prettenhofer
@datarobot
Tobias Pfaff
@datalook
Emmanuel Letouzé
@datapopalliance
Agenda
Big Data for Social Good
> The Macro Perspective
> The Micro Perspective
…and Kaggle
> Short Intro
> Interactive Crash Course
Interactive part: 1. Load bit.ly/bitkom15 and create account
2. Create account on kaggle.com
Big Data and Development
> The Macro Perspective
Emmanuel Letouzé
Emmanuel Letouzé
Emmanuel Letouzé
*Source:OxfamInternational,citingCreditSuisse,Jan.2014
“The bottom half of the world’s population owns
the same as the richest 85 people in the world”*
Emmanuel Letouzé
Big Data as / is a new ecosystem:
from the 3 Vs to the 3Cs of Big Data
i. Exhaust
ii. Web
iii. Sensing
Crumbs
Capacities
Community
Emmanuel Letouzé
Applications: Taxonomy
1. Descriptive
-e.g. maps, clouds..
2. Predictive:
-forecasting
-inference
3. Prescriptive
-causal inference
Emmanuel Letouzé
Emmanuel Letouzé
Emmanuel Letouzé
Emmanuel Letouzé
Emmanuel Letouzé
Applications: ongoing
Emmanuel Letouzé
Applications: Examples
Emmanuel Letouzé
Implications: Ethics
Emmanuel Letouzé
Implications: Power
Jonathan Glemmie, The Guardian, Oct 3, 2013
Emmanuel Letouzé
> The Micro Perspective
Tobias Pfaff
Bring the superpowers of data
science to nonprofit organizations
and to the local administration.
> The Micro Perspective
Tobias Pfaff
Saving lives with predictive
analytics in New York City
> The Micro Perspective
Tobias Pfaff
[Slide from Drew Conway, http://bit.ly/1BjFpvW]Tobias Pfaff
Time that buildings are at risk of
severe fire significantly reduced.
Which social problems can be
solved with (Big) Data?
Tobias Pfaff
> The Micro Perspective
Who are the other players?
Tobias Pfaff
> The Micro Perspective
…and how can my company get
involved?
Tobias Pfaff
> The Micro Perspective
[http://bit.ly/1w6fccS]Tobias Pfaff
> Short Intro to Data Science Competitions with
Peter Prettenhofer
Peter Prettenhofer
How Data Science Competitions Work
Return% ProductID Dept Price MFR
1.94 54323 Household 54.95 USA
0.023 92356 Household 9.95 USA
0.8 78023 Computer 4.5 China
0.01 12340 Audio 109.99 China
0.41 31240 Audio 29.99 Taiwan
0.97 12351 Hardware 54.95 Mexico
0.0115 90141 Hardware 4.99 USA
0.4 81240 Hardware 6.55 Taiwan
0.03 14896 Computer 211.99 Korea
0.205 62132 Computer 1100 USA
1.6878 54323 Audio 34.99 USA
0.0345 92356 Audio 7.99 USA
0.64 78023 Household 229.9 Brazil
0.72 12340 Audio 19.95 Mexico
0.41 31240 Computer 6.99 Taiwan
1.94 54323 Hardware 11.99 Taiwan
0.023 92356 Household 2.05 USA
0.08 78023 Computer 99.99 USA
2.09 12340 Computer 129.99 China
1.1 31240 Audio 18.99 China
Target Features
Peter Prettenhofer
How Data Science Competitions Work
Return% ProductID Dept Price MFR
1.94 54323 Household 54.95 USA
0.023 92356 Household 9.95 USA
0.8 78023 Computer 4.5 China
0.01 12340 Audio 109.99 China
0.41 31240 Audio 29.99 Taiwan
0.97 12351 Hardware 54.95 Mexico
0.0115 90141 Hardware 4.99 USA
0.4 81240 Hardware 6.55 Taiwan
0.03 14896 Computer 211.99 Korea
0.205 62132 Computer 1100 USA
1.6878 54323 Audio 34.99 USA
0.0345 92356 Audio 7.99 USA
0.64 78023 Household 229.9 Brazil
0.72 12340 Audio 19.95 Mexico
0.41 31240 Computer 6.99 Taiwan
1.94 54323 Hardware 11.99 Taiwan
0.023 92356 Household 2.05 USA
0.08 78023 Computer 99.99 USA
2.09 12340 Computer 129.99 China
1.1 31240 Audio 18.99 China
Training
TestingGround Truth
Peter Prettenhofer
How Data Science Competitions Work
Training
TestingBlanks
Return% ProductID Dept Price MFR
1.94 54323 Household 54.95 USA
0.023 92356 Household 9.95 USA
0.8 78023 Computer 4.5 China
0.01 12340 Audio 109.99 China
0.41 31240 Audio 29.99 Taiwan
0.97 12351 Hardware 54.95 Mexico
0.0115 90141 Hardware 4.99 USA
0.4 81240 Hardware 6.55 Taiwan
0.03 14896 Computer 211.99 Korea
0.205 62132 Computer 1100 USA
1.6878 54323 Audio 34.99 USA
0.0345 92356 Audio 7.99 USA
? 78023 Household 229.9 Brazil
? 12340 Audio 19.95 Mexico
? 31240 Computer 6.99 Taiwan
? 54323 Hardware 11.99 Taiwan
? 92356 Household 2.05 USA
? 78023 Computer 99.99 USA
? 12340 Computer 129.99 China
? 31240 Audio 18.99 China
Peter Prettenhofer
How Data Science Competitions Work
Training
TestingSubmissions
Return% ProductID Dept Price MFR
1.94 54323 Household 54.95 USA
0.023 92356 Household 9.95 USA
0.8 78023 Computer 4.5 China
0.01 12340 Audio 109.99 China
0.41 31240 Audio 29.99 Taiwan
0.97 12351 Hardware 54.95 Mexico
0.0115 90141 Hardware 4.99 USA
0.4 81240 Hardware 6.55 Taiwan
0.03 14896 Computer 211.99 Korea
0.205 62132 Computer 1100 USA
1.6878 54323 Audio 34.99 USA
0.0345 92356 Audio 7.99 USA
0.83 78023 Household 229.9 Brazil
0.65 12340 Audio 19.95 Mexico
0.52 31240 Computer 6.99 Taiwan
1.74 54323 Hardware 11.99 Taiwan
0.1 92356 Household 2.05 USA
0.02 78023 Computer 99.99 USA
2.9 12340 Computer 129.99 China
0.83 31240 Audio 18.99 China
Peter Prettenhofer
How Data Science Competitions Work
Peter Prettenhofer
How Data Science Competitions Work
Training
Testing
Public/Private
Leaderboard
Return% ProductID Dept Price MFR
1.94 54323 Household 54.95 USA
0.023 92356 Household 9.95 USA
0.8 78023 Computer 4.5 China
0.01 12340 Audio 109.99 China
0.41 31240 Audio 29.99 Taiwan
0.97 12351 Hardware 54.95 Mexico
0.0115 90141 Hardware 4.99 USA
0.4 81240 Hardware 6.55 Taiwan
0.03 14896 Computer 211.99 Korea
0.205 62132 Computer 1100 USA
1.6878 54323 Audio 34.99 USA
0.0345 92356 Audio 7.99 USA
0.83 78023 Household 229.9 Brazil
0.65 12340 Audio 19.95 Mexico
0.52 31240 Computer 6.99 Taiwan
1.74 54323 Hardware 11.99 Taiwan
0.1 92356 Household 2.05 USA
0.02 78023 Computer 99.99 USA
2.9 12340 Computer 129.99 China
0.83 31240 Audio 18.99 China
Peter Prettenhofer
How Data Science Competitions Work
> Interactive Kaggle Crash Course
Peter Prettenhofer
Interactive part: 1. Load bit.ly/bitkom15 and create account
2. Create account on kaggle.com
Slides and interactive material available at bit.ly/bitkom16
Thank you.
Peter Prettenhofer
peter@datarobot.com
Tobias Pfaff
tobias@datalook.io
Emmanuel Letouzé
eletouze@datapopalliance.org
Questions?

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Big Data for Social Good

  • 1. Big Data for Social Good Using Kaggle for Business and Social Impact Peter Prettenhofer @datarobot Tobias Pfaff @datalook Emmanuel Letouzé @datapopalliance
  • 2. Agenda Big Data for Social Good > The Macro Perspective > The Micro Perspective …and Kaggle > Short Intro > Interactive Crash Course Interactive part: 1. Load bit.ly/bitkom15 and create account 2. Create account on kaggle.com
  • 3. Big Data and Development > The Macro Perspective Emmanuel Letouzé
  • 5. Emmanuel Letouzé *Source:OxfamInternational,citingCreditSuisse,Jan.2014 “The bottom half of the world’s population owns the same as the richest 85 people in the world”*
  • 6. Emmanuel Letouzé Big Data as / is a new ecosystem: from the 3 Vs to the 3Cs of Big Data i. Exhaust ii. Web iii. Sensing Crumbs Capacities Community
  • 7. Emmanuel Letouzé Applications: Taxonomy 1. Descriptive -e.g. maps, clouds.. 2. Predictive: -forecasting -inference 3. Prescriptive -causal inference
  • 15. Emmanuel Letouzé Implications: Power Jonathan Glemmie, The Guardian, Oct 3, 2013
  • 17. > The Micro Perspective Tobias Pfaff
  • 18. Bring the superpowers of data science to nonprofit organizations and to the local administration. > The Micro Perspective Tobias Pfaff
  • 19. Saving lives with predictive analytics in New York City > The Micro Perspective Tobias Pfaff
  • 20.
  • 21. [Slide from Drew Conway, http://bit.ly/1BjFpvW]Tobias Pfaff Time that buildings are at risk of severe fire significantly reduced.
  • 22. Which social problems can be solved with (Big) Data? Tobias Pfaff > The Micro Perspective
  • 23. Who are the other players? Tobias Pfaff > The Micro Perspective
  • 24. …and how can my company get involved? Tobias Pfaff > The Micro Perspective
  • 26. > Short Intro to Data Science Competitions with Peter Prettenhofer
  • 27. Peter Prettenhofer How Data Science Competitions Work Return% ProductID Dept Price MFR 1.94 54323 Household 54.95 USA 0.023 92356 Household 9.95 USA 0.8 78023 Computer 4.5 China 0.01 12340 Audio 109.99 China 0.41 31240 Audio 29.99 Taiwan 0.97 12351 Hardware 54.95 Mexico 0.0115 90141 Hardware 4.99 USA 0.4 81240 Hardware 6.55 Taiwan 0.03 14896 Computer 211.99 Korea 0.205 62132 Computer 1100 USA 1.6878 54323 Audio 34.99 USA 0.0345 92356 Audio 7.99 USA 0.64 78023 Household 229.9 Brazil 0.72 12340 Audio 19.95 Mexico 0.41 31240 Computer 6.99 Taiwan 1.94 54323 Hardware 11.99 Taiwan 0.023 92356 Household 2.05 USA 0.08 78023 Computer 99.99 USA 2.09 12340 Computer 129.99 China 1.1 31240 Audio 18.99 China Target Features
  • 28. Peter Prettenhofer How Data Science Competitions Work Return% ProductID Dept Price MFR 1.94 54323 Household 54.95 USA 0.023 92356 Household 9.95 USA 0.8 78023 Computer 4.5 China 0.01 12340 Audio 109.99 China 0.41 31240 Audio 29.99 Taiwan 0.97 12351 Hardware 54.95 Mexico 0.0115 90141 Hardware 4.99 USA 0.4 81240 Hardware 6.55 Taiwan 0.03 14896 Computer 211.99 Korea 0.205 62132 Computer 1100 USA 1.6878 54323 Audio 34.99 USA 0.0345 92356 Audio 7.99 USA 0.64 78023 Household 229.9 Brazil 0.72 12340 Audio 19.95 Mexico 0.41 31240 Computer 6.99 Taiwan 1.94 54323 Hardware 11.99 Taiwan 0.023 92356 Household 2.05 USA 0.08 78023 Computer 99.99 USA 2.09 12340 Computer 129.99 China 1.1 31240 Audio 18.99 China Training TestingGround Truth
  • 29. Peter Prettenhofer How Data Science Competitions Work Training TestingBlanks Return% ProductID Dept Price MFR 1.94 54323 Household 54.95 USA 0.023 92356 Household 9.95 USA 0.8 78023 Computer 4.5 China 0.01 12340 Audio 109.99 China 0.41 31240 Audio 29.99 Taiwan 0.97 12351 Hardware 54.95 Mexico 0.0115 90141 Hardware 4.99 USA 0.4 81240 Hardware 6.55 Taiwan 0.03 14896 Computer 211.99 Korea 0.205 62132 Computer 1100 USA 1.6878 54323 Audio 34.99 USA 0.0345 92356 Audio 7.99 USA ? 78023 Household 229.9 Brazil ? 12340 Audio 19.95 Mexico ? 31240 Computer 6.99 Taiwan ? 54323 Hardware 11.99 Taiwan ? 92356 Household 2.05 USA ? 78023 Computer 99.99 USA ? 12340 Computer 129.99 China ? 31240 Audio 18.99 China
  • 30. Peter Prettenhofer How Data Science Competitions Work Training TestingSubmissions Return% ProductID Dept Price MFR 1.94 54323 Household 54.95 USA 0.023 92356 Household 9.95 USA 0.8 78023 Computer 4.5 China 0.01 12340 Audio 109.99 China 0.41 31240 Audio 29.99 Taiwan 0.97 12351 Hardware 54.95 Mexico 0.0115 90141 Hardware 4.99 USA 0.4 81240 Hardware 6.55 Taiwan 0.03 14896 Computer 211.99 Korea 0.205 62132 Computer 1100 USA 1.6878 54323 Audio 34.99 USA 0.0345 92356 Audio 7.99 USA 0.83 78023 Household 229.9 Brazil 0.65 12340 Audio 19.95 Mexico 0.52 31240 Computer 6.99 Taiwan 1.74 54323 Hardware 11.99 Taiwan 0.1 92356 Household 2.05 USA 0.02 78023 Computer 99.99 USA 2.9 12340 Computer 129.99 China 0.83 31240 Audio 18.99 China
  • 31. Peter Prettenhofer How Data Science Competitions Work
  • 32. Peter Prettenhofer How Data Science Competitions Work Training Testing Public/Private Leaderboard Return% ProductID Dept Price MFR 1.94 54323 Household 54.95 USA 0.023 92356 Household 9.95 USA 0.8 78023 Computer 4.5 China 0.01 12340 Audio 109.99 China 0.41 31240 Audio 29.99 Taiwan 0.97 12351 Hardware 54.95 Mexico 0.0115 90141 Hardware 4.99 USA 0.4 81240 Hardware 6.55 Taiwan 0.03 14896 Computer 211.99 Korea 0.205 62132 Computer 1100 USA 1.6878 54323 Audio 34.99 USA 0.0345 92356 Audio 7.99 USA 0.83 78023 Household 229.9 Brazil 0.65 12340 Audio 19.95 Mexico 0.52 31240 Computer 6.99 Taiwan 1.74 54323 Hardware 11.99 Taiwan 0.1 92356 Household 2.05 USA 0.02 78023 Computer 99.99 USA 2.9 12340 Computer 129.99 China 0.83 31240 Audio 18.99 China
  • 33. Peter Prettenhofer How Data Science Competitions Work
  • 34. > Interactive Kaggle Crash Course Peter Prettenhofer Interactive part: 1. Load bit.ly/bitkom15 and create account 2. Create account on kaggle.com Slides and interactive material available at bit.ly/bitkom16
  • 35. Thank you. Peter Prettenhofer peter@datarobot.com Tobias Pfaff tobias@datalook.io Emmanuel Letouzé eletouze@datapopalliance.org Questions?