Putting the Science into Data Science...
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The 9 Pitfalls of Data Science
1. Using Bad Data
2. Putting Data Before Theory
3. Worshiping Math
4. Worshiping Computers
5. Torturing Data
6. Fooling Yourself
7. Confusing Correlation with
Causation
8. Being Surprised by
Regression Toward the Mean
9. Doing Harm