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Cloudera Wrangle 2015
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Cloudera Wrangle 2015
1.
Condense Fact from
the Vapor of Nuance Mike Conover, Ph.D. Staff Data Scientist, LinkedIn
2.
Good Problems
3.
Unambiguous Concrete Response Variables Ad
Clicks Real Estate Pricing Flower Species
4.
Qualitative Multidimensional Non-Euclidean Expertise Nebulous TrustSerendipity Sentiment
5.
High-Fidelity Proxy Variables Crowdsourcing
/ In-House Evaluation Tip of the Spear Operationalize “All models are wrong, but some are useful.” George Box
6.
Execution
7.
Quality Control
8.
Scale is the
Premise
9.
Spectrum
10.
Qualitative Evaluation Heteroscedasticity Stratified Sampling Temporal Factors
11.
Confirmation Bias
12.
Fit to Print
13.
Lightweight Narrative Frame Toy Examples Propaganda “Given
enough eyeballs, all bugs are shallow.” Eric S. Raymond
14.
Infrastructure Notebooks Model Viewers Soup to
Nuts
15.
Ship It!
16.
Devil’s Bargain Feature Transformations Transcription
Errors Model Specification
17.
Power Tools Singularity Something’s Wrong.
Go. Spark & MLLib + Notebooks
18.
Condense Fact from
the Vapor of Nuance Mike Conover, Ph.D. Staff Data Scientist, LinkedIn
19.
Biomorphs Iterating on Response
Variables
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