16 episodes

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 Monte Zweben

    • Technology
    • 5.0 • 12 Ratings

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.

    15 - MLOps with Demetrios Brinkmann

    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 we should be evaluating models throughout their life cycle. He also introduced a completely unique way to gamify feature stores that could change the way data scientists are remunerated. Demetrios shared some stories about how businesses can benefit from MLOps (and the astounding times ML has gone wrong without it!)
    Hear Demetrios talk about AI Ethics and AR in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.

    Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.

    • 15 min
    14 - Feature Stores with Atindriyo Sanyal from Uber

    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 episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.

    Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.

    • 15 min
    13 - Building Trustworthy AI with Beena Ammanath of Deloitte

    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 resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.

    Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.

    • 15 min
    12 - Improving Patient Outcomes with Dr. Devin Singh

    12 - Improving Patient Outcomes with Dr. Devin Singh

    Even before COVID-19 overwhelmed hospitals, many healthcare workers were feeling engulfed by their workload, never having enough time to properly focus on their patients. Automating key tasks in the patient journey could help change this, so patients receive the best possible care.
    Dr. Devin Singh, a pediatric emergency physician in Toronto, Canada, as well as the founder of Hero AI, a startup dedicated to empowering patients and healthcare providers with AI, came in to chat about how he was doing just this. Devin discusses applications of AI in healthcare, navigating the institutions that compose the healthcare system, his collaborative approach to bringing people from different fields together in order to cut the red tape surrounding the implementation of a brand new solution, and the future of healthcare.
    Hear Devin talk about the automated future of medicine in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.

    Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.

    • 14 min
    11 - Space Craters with Danielle DeLatte

    11 - Space Craters with Danielle DeLatte

    Imagine you're a rover on Mars, trying to find your way around. There's no towering skyscrapers or bodies of water to tell you where you are. What do you look for? The original natural landmarks: changes in land elevation that denote mountains and craters.

    On this week’s episode, Dr. Danielle DeLatte, a Space Systems Engineer at Draper, came in to talk about her PhD work using machine learning and computer vision to to calculate the age of craters and their possible role for rover navigation in the future.
    Hear more about Danielle's work on NASA's Artemis mission in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.

    Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.

    • 14 min
    10 - The Future of Work with Fred Goff of Jobcase

    10 - The Future of Work with Fred Goff of Jobcase

    Machine Learning has been used to increase profit for businesses and solve tough problems in research, but what if ML was being harnessed to help people?  Well, there are few things that affect people’s lives more than work.

    On this week’s episode, Fred Goff, CEO of Jobcase, talks about harnessing the power of ML to empower workers and build community, with some powerful economic and political repercussions.
    Check out Monte's real-time feature store at a hands-on workshop at TWiMLCon on January 28. Register at mlminutes.com/events.
    Hear more about how virtual reality will shape future jobs in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.

    Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.

    • 15 min

Customer Reviews

5.0 out of 5
12 Ratings

12 Ratings

healthpolicywonk ,

Great podcast

Digestible and interesting info on ML

This nickname is stupid ,

The only Data Science Podcast I listen to!!

This is the best podcast on ML and data science! Easily digestible and very well produced, love the short form format!

EmJulie ,

A great listen - whether or not you work in AI!

I’m blown away by this podcast! I love how they take big ideas in AI & translate them into bite size chunks, while also connecting how these ideas/issues relate to real world problems. I’m not in the AI field whatsoever, but they provided great context & I was able to understand what they were talking about! However, I’m sure those in the actual field would have an even greater appreciation for the podcast. Love the game show feel ! Also the host is phenomenal! He sounds totally down to earth & interesting. I’m a huge fan! For sure gonna check out those bonus minutes 👏🏻

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