Adventures in Machine Learning


Ben Wilson

Michael Berk



Jan 27, 2023

Protecting Your ML From Phishing And Hackers - ML 101

Have you ever wondered how to secure a cloud deployment? Well, today we talk to the president at a cloud security company about personal security, detecting malicious actors, startup trends, and much more!

Jan 19, 2023

The Disruptive Power of Artificial Intelligence - ML 100

Have you ever wondered about the most promising industries in Machine Learning? Today we will learn from Avi Goldfarb, the chair of AI at the University of Toronto, about... -The most promising AI industries -Potential problems with powerful AI -The economics behind innovation

Jan 05, 2023

A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099

In this episode, Ben talks with Rosaria Silipo, a Software Engineer and Developer Relations advocate at Knime. They discuss the benefits of low-code ML, delve into the history of ML development work as it has changed over the past few decades, and discuss a few stories about the importance of pursuing simplicity in implementations.

Ben Wilson

Rosaria Silipo
Dec 22, 2022

Moving from Dev Notebooks to Production Code - ML 098

In this week's episode we meet with Mike Arov, committer to the MLOps tool framework lineapy. From the benefits of notebooks as development tooling for Data Science work to the complex refactoring needed to convert them to production-capable code bases, our conversation dives deep into the generally under-represented bridge tooling of code base conversions.

Ben Wilson

Mike Arov
Dec 15, 2022

How to Edit and Contribute to Existing Code Base - ML 097

Let's be honest. We've all copy and pasted code from the internet. There are many great code sources and in this episode we discuss how to leverage existing code. We'll explain how to understand a code base and some best practices for contribution.

Dec 01, 2022

MLflow 2.0 And How Large-Scale Projects Are Managed In The Open Source - ML 096

Corey Zumar talks about the new release of MLflow, 2.0, and what the new major features that are included in the release. Bilal and Corey then discuss managing feature implementation priorities, and selling large-scale project ideas to internal customers, end-users, executives, and the dev team. The discussion also centers around generalizing feature requests to implementations that will work for the masses and how to effectively do prototype releases for incremental agile development for complex projects.

Nov 24, 2022

Should you Context Switch when Writing Code? - ML 095

Do you multitask? If so, you'll want to check out this episode. We'll cover...

Nov 24, 2022

How To Recession Proof Your Job - BONUS

Are you looking at all the layoffs and uncertainty going on and wondering if your company is the next to cut back?    Or, maybe you're a freelancer or entrepreneur who is trying to figure out how to deliver more value to gain or retain customers?    Mani Vaya joins Charles Max Wood to discuss the one thing that both of them use to more than double their productivity on a daily basis.    Mani has read 1,000's of productivity books over the last several years and has formulated a methodology for getting more done, but found that he lacked the discipline to follow through on his plans.    The he found the one thing that kept him on track and made him so productive that he is now getting all of his work done and was able to live the life he wants.    Chuck also weighs in on how Mani's technique has worked for him and allows him to spend more time with his wife and kids, run a podcast network, and a nearly full time contract.    Join the episode to learn how Chuck and Mani get into a regular flow state with their work and consistently deliver at work. 

Mani Vaya