
Data Science Happy Hour 70 | 25FEB2022
The Artists of Data Science
00:00
The Foundations of Experimental Design
Don't just assume one, one trial, one experimental run, is enough. It's it's typically be able to repeat it. And then you can get granular ond what you're measuring. Get my methodology kind of sound. Just figure out my practices. You can ave to build a platform to support a bunch of this stuff,. Because it gets complicated quick and you a to do these experiments as simply as possible. They may take a long time to run, but you don't want it to be your time taken up building, designing, implementing the experiment itself. Indthen we think about doing the correlation analysis and then trying to flip that into something more predictive.
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