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Recommender Systems 101: NVIDIA’s Even Oldridge Breaks It Down - Ep. 164

Recommender Systems 101: NVIDIA’s Even Oldridge Breaks It Down - Ep. 164

FromThe AI Podcast


Recommender Systems 101: NVIDIA’s Even Oldridge Breaks It Down - Ep. 164

FromThe AI Podcast

ratings:
Length:
38 minutes
Released:
Mar 2, 2022
Format:
Podcast episode

Description

The very thing that makes the internet so useful to so many people — the vast quantity of information that’s out there — can also make going online frustrating.

There’s so much available that the sheer volume of choices can be overwhelming. That’s where recommender systems come in, explains NVIDIA AI Podcast host Noah Kravitz.

To dig into how recommender systems work — and why these systems are being harnessed by companies in industries around the globe — Kravitz spoke to Even Oldridge, senior manager for the Merlin team at NVIDIA.

https://blogs.nvidia.com/blog/2022/03/02/whats-a-recommender-system-2/
Released:
Mar 2, 2022
Format:
Podcast episode

Titles in the series (100)

One person, one interview, one story. Join us as we explore the impact of AI on our world, one amazing person at a time -- from the wildlife biologist tracking endangered rhinos across the savannah here on Earth to astrophysicists analyzing 10 billion-year-old starlight in distant galaxies to the Walmart data scientist grappling with the hundreds of millions of parameters lurking in the retailer’s supply chain. Every two weeks, we’ll bring you another tale, another 25-minute interview, as we build a real-time oral history of AI that’s already garnered nearly 3.4 million listens and been acclaimed as one of the best AI and machine learning podcasts. So whether you’re contending with challenges in marketing or mathematics, astrophysics or paleo history or just trying to find an automated way to sort out your kid’s growing Lego pile, listen in and get inspired.