Learn the latest and greatest applications of machine learning from cutting-edge thought leaders, in the time it takes to do the dishes. Every other Wednesday, join Monte Zweben for fascinating conversations with researchers and practitioners in the machine learning world. Discover new applications of machine learning and artificial intelligence in every 15-minute episode.

ML Minutes
Claim This Podcastby Monte Zweben
Podcast Overview
Learn the latest and greatest applications of machine learning from cutting-edge thought leaders, in the time it takes to do the dishes. Every other Wednesday, join Monte Zweben for fascinating conversations with researchers and practitioners in the machine learning world. Discover new applications of machine learning and artificial intelligence in every 15-minute episode.
Language
🇺🇲
Publishing Since
10/12/2020
Reach the team behind ML Minutes
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
Recent Episodes

April 14, 2021
15 - MLOps with Demetrios Brinkmann
Want to learn how to lose $40,000? One company inadvertently did— by embracing infinite storage and compute without guardrails, an oversight that could have been solved with MLOps. Sometimes defined as “DevOps for ML”, MLOps encompasses everything from the hardware and software on which machine learning is done to the governance and ethics associated with deployment. Demetrios Brinkmann, coordinator of the MLOps community and host of a number of fantastic AI podcasts, came in to discuss how w...

March 17, 2021
14 - Feature Stores with Atindriyo Sanyal from Uber
We're talking about 2021’s hottest MLOps technology— feature stores. But what is a feature store, and what on earth do they do? Atindriyo Sanyal, Technical Lead on the Machine Learning Platform team at Uber, shares Uber’s feature store journey, the benefits feature stores have provided for their data science team, and where they're going next. Hear Atin talk about using ML for data privacy and public policy in the Bonus Minutes on our website, mlminutes.com, where you can also find epis...

March 3, 2021
13 - Building Trustworthy AI with Beena Ammanath of Deloitte
Would you trust an AI that told you when a plane engine was going to fail? What if the information gathered by that AI lost you your job? On this week’s episode, we discuss ethics, bias, fairness, and how building trustworthy AI isn’t a one size fits all endeavor with Beena Ammanath, director of the Deloitte AI Institute. Hear Beena talk about her work improving diversity in tech in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resour...
16 total episodes available
Deep-dive analytics for ML Minutes
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is ML Minutes?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.
