Lukas Biewald's presentation at the Open Data Science Conference "We Need Open Data to Become the Next Open Source"

2. Why We Need More Data

3. Lots of Data
3

4. The Effect of Better Algorithms
4 CrowdFlower, Inc. – Proprietary and Confidential
0%
5%
10%
15%
20%
25%
Naïve Bayes Maximum Entropy SVM
Classifier Error Rate

5. Real World Data
5
Active Semi-Supervised Learning for
Improving Word Alignment
(Vamshi ACL ’10)

6. The Effect of Better Features
6 CrowdFlower, Inc. – Proprietary and Confidential
0%
5%
10%
15%
20%
25%
30%
Unigrams Bigrams Unigrams+Bigrams
Classifier Error Rate

7. Real World Data
7

8. The Effect of More Data
8 CrowdFlower, Inc. – Proprietary and Confidential
0%
2%
4%
6%
8%
10%
12%
14%
N 2N 4N
Classifier Error Rate

9. Real World Data
9
Active Semi-Supervised Learning for
Improving Word Alignment
(Vamshi ACL ’10)

10. The Effect of Cleaner Data
10 CrowdFlower, Inc. – Proprietary and Confidential
0%
2%
4%
6%
8%
10%
12%
14%
90% Accurate Data 95% Accurate Data 100% Accurate Data
Classifier Error Rate

11. 11
Where do Data Scientists Spend Their Time

12. The Power of Open Data

13. CrowdFlower Data Enrichment Platform
13

14. Color Data
14

15. 15

16. 16

17. 17

18. 18

19. 19

20. 20

21. Fleshmap
21

22. 22

23. Drug Side Effects
23

24. 24

25. 25

26. Apple Watch
26

27. Apple Watch
27

28. Apple Watch
28

29. Apple Watch
29

30. Data for Everyone

31. Collecting the Same Data Over and Over
31

32. Open Data
32

33. Make Your Data Public Setting
33

34. Data for Everyone
34

35. Data For Everyone Library
35

36. Data for Everyone
36

37. Data For Everyone
37

38. Categorize URLs
38

39. URL Categorization
39

40. Open Data API
40

41. Record Data
41

42. Extracting Names and Titles
42

43. Summarization
43

44. Is an Image Funny?
44

45. Classifying Medical Images
45

46. Attributes of People
46

47. 47

48. 396 Scripts
48

49. Lukas Biewald
lukas@crowdflower.com
@L2K
Thank You