Tag: Models

A type of attack called “membership inference” makes it possible to detect the data used to train a machine learning ...

No more confusion about what confusion matrix is and which evaluation metrics you should focus on for your next binary ...

Discussing applications of ML in theory is much different than actually applying ML models at scale in production. In this ...

There is no one size fits all when working with imbalanced datasets. You will have to try multiple things based ...

Machine learning models, especially ones using neural networks, work in mysterious ways. There are hidden layers in deep neural networks ...

Regression is flexible and certain regression models can handle correlated data. However, it is always important to check the assumptions ...