Data Career Podcast: Helping You Land a Data Analyst Job FAST cover image

66: The Naked Truth about Data Careers w/ Data Manager Marijn Markus

Data Career Podcast: Helping You Land a Data Analyst Job FAST

CHAPTER

The Importance of Explainability in Machine Learning

The H2O stack was one of the first AutoML cases where you can just throw your same train test data set into a regression, random forest, neural net, and extra boost model to compare performance. But in the end, our job as data scientists, it's not to build a model, but to pick the right model and then build that. It's always an equation between accuracy on the one end and explainability on the other hand. And for that, we usually need simple methods rather than complex methods.

00:00
Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner