bentoML Blog

bentoML is a blog about machine learning beyond model optimization. Machine learning models always have a context and rely on data and implicit assumptions, yet many people focus on model performance. The name bentoML is inspired by the Japanese “bento box”, a lunch box with many different dishes. Predictive performance is just one of many dishes in the box. In this blog, we will discuss topics that go beyond performance: machine learning interpretability, data biases, application context, fairness and more.

Christoph Molnar

I am a data scientist and PhD candidate in interpretable machine learning. I am passionate about using statistics and machine learning on data to make humans and machines smarter. And I am especially interested in making the decisions from algorithms more understandable for humans.