i-am-charmander

4 ms·

1. 1.▲
   by i-am-charmander 8y ago

   That's why you go through the process of validating your model (in the example you provided, checking for multicollinearity), remedying any issues, and then using the model. Modern software often adds very useful layers of abstraction
2. 2.▲
   by i-am-charmander 8y ago

   A culture with a major component being the consumption of alcohol does not escape advertising, FWIW.
3. 3.▲
   by i-am-charmander 8y ago

   A family member of mine basically smoked away her future, in a sense, throughout middle and high school. She wasn't always the brightest candle in the box, but the heavy marijuana use certainly didn't help. She has the cognition a
4. 4.▲
   by i-am-charmander 8y ago

   "Production notebooks" should not be a thing... Unless prefaced by a bold RUN ALL .
5. 5.▲
   Ask HN: How do you track configurations across a machine learning pipeline?

   1 points by i-am-charmander 8y ago|0 comments
6. 6.▲
   by i-am-charmander 8y ago

   I understand that, but my point is good luck doing a lot of that "statistics-based data science" using just SQL.
7. 7.▲
   by i-am-charmander 8y ago

   Comments like this reinforce the idea that data science is too broad a term. Everything data-related is thrown into the "data science" bucket. You describe what I'd call business intelligence or even advanced analytics. S