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Why We Need More Data
Lots of Data
3
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
Real World Data
5
Active Semi-Supervised Learning for
Improving Word Alignment
(Vamshi ACL ’10)
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
Real World Data
7
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
Real World Data
9
Active Semi-Supervised Learning for
Improving Word Alignment
(Vamshi ACL ’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
Where do Data Scientists Spend Their Time
The Power of Open Data
CrowdFlower Data Enrichment Platform
13
Color Data
14
15
16
17
18
19
20
Fleshmap
21
22
Drug Side Effects
23
24
25
Apple Watch
26
Apple Watch
27
Apple Watch
28
Apple Watch
29
Data for Everyone
Collecting the Same Data Over and Over
31
Open Data
32
Make Your Data Public Setting
33
Data for Everyone
34
Data For Everyone Library
35
Data for Everyone
36
Data For Everyone
37
Categorize URLs
38
URL Categorization
39
Open Data API
40
Record Data
41
Extracting Names and Titles
42
Summarization
43
Is an Image Funny?
44
Classifying Medical Images
45
Attributes of People
46
47
396 Scripts
48
Lukas Biewald
lukas@crowdflower.com
@L2K
Thank You

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Open Data Science Conference 2015

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