Bayesian thinking in work and life, ad attribution models and A/B testing, machine learning@Foursquare - Max Sklar - the data scientist show050
The Data Scientist Show - Daliana Liu
00:00
Is There a Difference Between Filtering on the Dependent Variables and the Model?
Wil surne: There really isn't any change if you're filtering on the dependent variable. The only thing that changes if you filter on the features is your modelke, let's say it's a logistic regression model. It will be a worse model, but it won't be bias in that it's over predicting or under predicting. In other words, it's just going to not, its just going to be fussier. Wil surne: When you're trying to do an algaritm that a image recognition algorithm where you’re trying to figure out which pictures rorof lions. If you train on half lions and half non lions, it's going to
Transcript
Play full episode
