Gatha
Hello there! I am a blogger who writes about AI and privacy. Currently, wrapping up my Ph.D. in data science. I'm a dog mom and love painting watercolors.
Sessions
It’s crunchy! It’s sweet! Maybe it is the presence of the nuts or their absence. There are various features that make you favor a particular cereal. Now surely, if we modeled the consumer ratings for cereals, some features would be considered more important than others. After all, feature engineering is one of the most critical steps in modeling. But after the model is up and running, what if we tweak the features just to see how much meddling can affect the preference? This process is called post-hoc feature attribution and it seeks to interpret the model behavior. In this talk, let us spoon through the interpretability of ML models.