Episodes

Podcast 01

How to Transition from Software Engineer to ML Engineer - ML 111

Apr 07, 2023 · Episode 111
Today we speak with a software engineer who is interested in becoming an ML engineer. Expect to learn about ML roles that are most attainable based on a strong software engineering skill set. We also cover some tangible strategies you can leverage to make the transition.
Podcast 01

Machine Learning for Meeting Notes - ML 110

Mar 30, 2023 · Episode 110
Today we look at an applied use case for ML: developing intelligent meeting notes. Expect to learn about LLMs, AI assistants, and how to develop an AI startup.
Podcast 01

Model Serving at Databricks - ML 109

Mar 26, 2023 · Episode 109
Today we deep dive into the mind of two brilliant Databricks software engineers. Their primary project was building the model serving feature, but expect to learn about ML side projects, traits of successful software engineers, and much more!
Podcast 01

Where ML and DevOps Meet - ML 108

Mar 17, 2023 · Episode 108
Hosts of the Adventures in DevOps podcast, Jillian Rowe and Jonathan Hall, join Ben and Michael on this week's episode crossover. They talk about the intersection of ML and DevOps. They dive into the concepts and differences between ML and DevOps. Additionally, they talk about how ML ideas may be applied to DevOps principles and vice versa.
Podcast 01

How Does ChatGPT Work? - ML 107

Mar 10, 2023 · Episode 107
ChatGPT is the most robust free chatbot. It can answer questions, write code, and summarize text. Today we will talk about the creation of ChatGPT, its implications for society, and how the model actually works.
Podcast 01

Machine Learning for Movie Scripts - ML 106

Mar 03, 2023 · Episode 106
Today we look at an applied use case for ML: parsing movie scripts. Expect to learn about bringing ML to new industries, the future of Large Language Models (LLM), and automation in the movie industry.
Podcast 01

ChatGPT and the Divine - ML 105

Feb 23, 2023 · Episode 105
"Any sufficiently advanced technology is indistinguishable from magic." Today, Michael and Ben talk about the broad implications of ChatGPT and similar algorithms. Expect to learn about...
Podcast 01

Deep Learning for Tabular and Time Series Data - ML 104

Feb 16, 2023 · Episode 104
Today we speak with a staff data scientist at Walmart who specializes in forecasting. He has built an open-source tool that allows you to leverage tabular data in PyTorch. He also has written a book on time series forecasting with deep learning.
Podcast 01

Notebooks vs. IDEs With Fabian Jakobs - ML 103

Feb 09, 2023 · Episode 103
How do you develop ML code? Do you use notebooks or do you use IDEs? In this episode, we get some practical advice from both Ben and our guest on leveraging software principles to write better code in both an IDE and notebook environment. We'll also learn about a cool new Databricks feature that will help you run ML code from an IDE.
Podcast 01

How To Think About Optimization - ML 102

Feb 03, 2023 · Episode 102
In this week's episode, we meet with Micheal McCourt, the head of engineering at SigOpt. He is an industry expert on optimization algorithms, so expect to learn about constraint-active search, SigOpt's new open-source optimizer, and how to run an engineering team.
Podcast 01

Protecting Your ML From Phishing And Hackers - ML 101

Jan 27, 2023 · Episode 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!
Podcast 01

The Disruptive Power of Artificial Intelligence - ML 100

Jan 19, 2023 · Episode 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
Podcast 01

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

Jan 05, 2023 · Episode 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.
Podcast 01

Moving from Dev Notebooks to Production Code - ML 098

Dec 22, 2022 · Episode 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.
Podcast 01

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

Dec 15, 2022 · Episode 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.
Album Art
Latest Episode: Why Authenticity Beats Algorithms: The New Rules of Digital Marketing - ML 185
0:00
56:36
Playback Speed: