How to Improve my ML Algorithm? Lessons from Andrew Ng’s Experience

towardsdatascience.com

I love this post. It's fairly short but provides super-useful and actionable advice for of your data science model optimization. My favorite is the F1 score:

Rather than using two numbers, precision and recall, to pick a classifier, you just have to find a new evaluation metric that combines precision and recall. In the machine learning literature, the standard way to combine precision and recall is something called an F1 score.

Read more...
Linkedin

Want to receive more content like this in your inbox?