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Shreya Shankar — Operationalizing Machine Learning
Gradient Dissent: Conversations on AI
The Biggest Bottleneck in Machine Learning Is Interpretability
I don't think that people have a framework for thinking about this so I haven't heard of that before. evaluating if this research or this new idea actually provides a worthwhile gain over another solution is there something off the shelf? It's just painful to try all the different things and see if they actually work yeah it's like or do we even need to try all the different thing andsee if they workYeah well thank you so much for your time that was super fun I really appreciate it thanks for having me If you're enjoying these interviews and you want to learn more please click on the link to the show notes in the description where you can find links to all the papers that are
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