This is a joint post with Inbar Naor. Originally published at engineering.taboola.com. In the first post of the series we discussed three types of uncertainty that can affect your model — data uncertainty, model uncertainty and measurement uncertainty. In the second post we talked about various...
This is a joint post with Inbar Naor. Originally published at engineering.taboola.com. Now that we know what uncertainty types exist and learned some ways to model them, we can start talking about how to use them in our application. In this post we’ll introduce the exploration-exploitation...
This is a joint post with Inbar Naor. Originally published at engineering.taboola.com. Understanding what a model doesn’t know is important both from the practitioner’s perspective and for the end users of many different machine learning applications. In our previous blog post we discussed the...
This is a joint post with Inbar Naor. Originally published at engineering.taboola.com. As deep neural networks (DNN) become more powerful, their complexity increases. This complexity introduces new challenges, including model interpretability. Interpretability is crucial in order to build models...