ML Minutes
Monte Zweben
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Top 10 ML Minutes Episodes
Goodpods has curated a list of the 10 best ML Minutes episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to ML Minutes for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite ML Minutes episode by adding your comments to the episode page.
11/11/20 • 14 min
Dr. Carla Brodley, Dean of Northeastern’s Khoury College of Computer Sciences, came in to discuss the role human experts should play for application-driven machine learning. Here's the study Carla did on patients with treatment-resistant epilepsy. Learn more about Northeastern's Experiential Institute for AI or the Align program to increase diversity in computer science.
Hear what Carla’s most excited about for the future of machine learning in our 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, Instagram, or Facebook.
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.
7 - MLOps with Andrew Brust
ML Minutes
12/09/20 • 15 min
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Back in the 90's, people said, "Just write code!" That is, until they realized how hard it was to update the software once it had been released. DevOps techniques were created to shorten the development life cycle and provide high quality software on a regular basis. The same thing is happening in the tech industry today, as we're beginning to operationalize Machine Learning with MLOps technologies.
Andrew Brust, CEO of Blue Badge Insights and lead analyst for GigaOm, came in to discuss what MLOps is, why it matters, and some different approaches people are taking to it.
Hear about applications of MLOps 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, Instagram, or Facebook.
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.
11/25/20 • 15 min
Have you ever wondered what you could do to help the planet combat climate change? Priya Donti did, too-- and now she's researching energy optimization and assembling folks in her community to tackle the defining problem of our future.
Priya is a PhD student in Computer Science and Public Policy at Carnegie Mellon, as well as the co-founder and chair of Climate Change AI. Here's the paper Priya wrote with her colleagues about tackling climate change with machine learning. You can learn more about Climate Change AI here.
Hear more specifics about Priya's research 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, Instagram, or Facebook.
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.
10/27/20 • 14 min
Dr. Oren Etzioni, CEO of the Allen Institute for AI (or AI2), talked to Monte about CORD-19, AI2's initiative to aid researchers studying COVID-19 . CORD-19 is an open research database that identifies the most pressing advances using comprehensive natural language processing. Learn more about in Oren's WIRED article, or get the details in the academic preprint.
Hear Oren's thoughts on Hollywood misconceptions of AI and AI2’s new computer vision program in our 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, Instagram, or Facebook.
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.
10/14/20 • 15 min
Dr. Manuela Veloso, head of the Artificial Intelligence Research Lab at J.P. Morgan and Herb Simon University Professor at Carnegie Mellon, talked to Monte about the role multi-agent systems play in both robotics and finance, as well as her thoughts on machine learning explainability. Learn more about AI Research at JP Morgan here, or read their recent paper about Prediction in Multiplex Networks if you're looking for the real nitty-gritty.
Hear Manuela's thoughts on misconceptions of AI and natural language processing in our 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, Instagram, or Facebook.
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.
10/14/20 • 12 min
Krishna Rao, an Earth scientist PhD student at Stanford University, came in to explain the factors that influence wildfire risk, and talk about a tool he created using machine learning that helps predict where wildfires might happen. You can test out Krishna's fuel moisture map here, read the academic paper he wrote, or his summary in Toward Data Science.
Listen to Krishna's Bonus Minutes on GTP-3 and bias in machine learning in our 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, Instagram, or Facebook.
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 - MLOps with Demetrios Brinkmann
ML Minutes
04/14/21 • 15 min
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.
03/17/21 • 15 min
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.
03/03/21 • 15 min
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.
02/17/21 • 14 min
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.
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FAQ
How many episodes does ML Minutes have?
ML Minutes currently has 16 episodes available.
What topics does ML Minutes cover?
The podcast is about Future, Podcasts, Technology, Artificial Intelligence, Data Science and Machine Learning.
What is the most popular episode on ML Minutes?
The episode title '15 - MLOps with Demetrios Brinkmann' is the most popular.
What is the average episode length on ML Minutes?
The average episode length on ML Minutes is 14 minutes.
How often are episodes of ML Minutes released?
Episodes of ML Minutes are typically released every 14 days.
When was the first episode of ML Minutes?
The first episode of ML Minutes was released on Oct 12, 2020.
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