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 industriesPotential problems with powerful AIThe economics behind innovationOn YouTubeThe Disruptive Power of Artificial Intelligence - ML 100SponsorsChuck's Resume TemplateDeveloper Book Club starting with Clean Architecture by Robert C. MartinBecome a Top 1% Dev with a Top End Devs MembershipLinksPower and Prediction: The Disruptive Economics of Artificial IntelligenceAvi GoldfarbLinkedIn: Avi Goldfarb Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
19 Tammi 20231h
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.On YouTubeA History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099SponsorsChuck's Resume TemplateDeveloper Book Club starting with Clean Architecture by Robert C. MartinBecome a Top 1% Dev with a Top End Devs MembershipLinks7 Things You Didn’t Know You Could do with a Low Code ToolLinkedIn: Rosaria SilipoTwitter: @DMR_RosariaAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
6 Tammi 20231h 12min
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.On YouTubeMoving from Dev Notebooks to Production Code - ML 098SponsorsChuck's Resume TemplateDeveloper Book Club starting with Clean Architecture by Robert C. MartinBecome a Top 1% Dev with a Top End Devs MembershipLinksIs There a Way to Bridge the MLOps Tools Gap? - KDnuggetsLineapy.orgAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
22 Joulu 20221h 11min
How to Edit and Contribute to Existing Code Base - ML 097
Let's be honest. We've all copied and pasted code from the internet. There are many great code sources and in this episode, Ben and Michael discuss how to leverage existing code. They explain how to understand a code base and some best practices for contribution. SponsorsChuck's Resume TemplateDeveloper Book Club starting with Clean Architecture by Robert C. MartinBecome a Top 1% Dev with a Top End Devs MembershipAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
15 Joulu 202254min
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. SponsorsChuck's Resume TemplateDeveloper Book Club starting with Clean Architecture by Robert C. MartinBecome a Top 1% Dev with a Top End Devs MembershipLinksGitHub: Corey-ZumarAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
1 Joulu 202249min
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...The difference between good and bad context switchingSome personal stories about context switching on projectsPractical tips you can leverage to improve your productivitySponsorsChuck's Resume TemplateDeveloper Book Club starting with Clean Architecture by Robert C. MartinBecome a Top 1% Dev with a Top End Devs MembershipAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
24 Marras 202231min
Important Questions To Ask When Scoping ML Projects - ML 094
Have you ever wondered how to prioritize your ML projects? Today we will talk about...The difference between applied ML and ML frameworksHow to effectively scope projects via Heilmeier's Catechism SponsorsChuck's Resume TemplateDeveloper Book Club starting with Clean Architecture by Robert C. MartinBecome a Top 1% Dev with a Top End Devs MembershipAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
17 Marras 202247min
