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ML Minutes

Monte Zweben

ML Minutes

A Technology podcast featuring Monte Zweben
 10 people rated this podcast
ML Minutes

Monte Zweben

ML Minutes

Episodes
ML Minutes

Monte Zweben

ML Minutes

A Technology podcast featuring Monte Zweben
 10 people rated this podcast
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Welcome to our one-of-a-kind machine learning podcast! Meet your host, Monte Zweben, and listen as Monte demonstrates our unique format by explaining machine learning in only one minute, including some fun examples.If you like what you heard, c
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 epis
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 everythi
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,
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
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 pa
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
What’s the deal with autonomous vehicles? For starters, saving 40,000 lives per year and answering some of the most interesting questions in artificial intelligence.Boris Sofman, Head of Perception and Trucking Engineering at Waymo, came in to
Where do things come from? It’s hard to tell down here on the ground, but cameras way up in space are capturing movement from all around the world to help answer this question. James Crawford, CEO of Orbital Insight, came in to explain how his
Want to win a free Apple Watch? Enter now at mlminutes.com/giveaway.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
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
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 epilep
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 comprehen
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 tho
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 te
Tom Mitchell, founder of Carnegie Mellon's (and the world's) first Machine Learning department, came in to discuss his research at the intersection of Machine Learning and Cognitive Neuroscience. We discussed where the meaning of words lie in t
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