If you’re feeling a little nervous about your baby leaving the nest, we get it. In this episode, Ben and Daniel talk with Abhilash Pattnaik, where they discuss the ONE fact about ML you can’t forget,

Aliaksei Mikhailiuk joins the Adventure to discuss the tools he wishes he'd mastered before getting his PhD in Machine Learning. However, the conversation meanders through his background

Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setu

Pier Paolo Ippolito joins the adventure to discuss some of the paradoxes or counterintuitive generalizations people make about their datasets. Ben, Chuck, and Pier dive into how to look at statistical

The panel jumps in to attempt to break your mental build regarding testing your ML Ops. They advocate for good testing practices around your code and systems and discuss how you can reliable test the

Ahmad Mustafa Anis joins the adventure to discuss how he deploys his Machine Learning models using FastAPI. FastAPI is a system for connecting and running Python programs. If your model is built in P

Emeli Dral and Elena Samuylova joins the Adventure to discuss the tools they have built to monitor data quality to determine where data problems occur, what they mean, and how to fix them.

Demetrios Brinkmann joins the adventure to discuss how he build and supports the MLOps Slack community and online meetups. He goes into the community, moderation, running meetups, sponsorships, and mu

Conor Murphy joins the adventure to explain how he approaches new problems from customers at databricks and how he helps customers see their way past issues with their current solutions to get the out

Antonio Alegria is the head of AI at Outsystems. He leads the effort to find ways to use AI to augment people's experience building software. He joins in to talk about how Outsystems approaches explo