Interpretability

## Interpretability

Machine learning has shown a rapid expansion into every sector and industry. With increasing reliance on models and increasing stakes for the decisions of models, questions of how models actually work are becoming increasingly important to ask.

Welcome to Data Skeptic Interpretability.

In this episode, Kyle interviews [Christoph Molnar](https://twitter.com/christophmolnar) about his book [Interpretable Machine Learning](https://christophm.github.io/interpretable-ml-book/).

Thanks to our sponsor, the [Gartner Data & Analytics Summit](https://gartner.com/us/data) going on in Grapevine, TX on March 23 – 26, 2020. Use discount code: dataskeptic.

### Music

Our new theme song is [#5](https://bigdandthekidstableofficial.bandcamp.com/track/5) by [Big D and the Kids Table](https://www.bigdandthekidstable.com/).

Incidental music by [Tanuki Suit Riot](https://tanukisuitriot.bandcamp.com/album/the-edo-sessions).

Guest

Christoph Molnar: Christoph Molnar is a statistician, machine learning expert, and author based in Munich. I wrote one of the most widely cited books on machine learning interpretability, used in university courses and industry teams around the world. As a statistician and machine learning expert, I turn academic research into practical resources: books and a newsletter read by thousands of data scientists. When I’m not writing or learning, I enjoy cooking and calisthenics.