درباره این پادکست 🔗
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.
فرکانس به روز رسانی:
biweekly
میانگین طول صدا:
14 minutes
انگلیسی
ایالات متحده آمریکا
16 قسمت
از سال 12 اکتبر 2020
episodic
آخرین اپیزود 🔗
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 lea…
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اپیزود قبلی 🔗
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 th…
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 th…
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,…
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. Danie…
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 …
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 discuss the methods used to train autonomous vehicles,…
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 company uses computer vision to make observations about…
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 to shorten the development life cycle an…
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 Polic…
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