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Data Science "Mix Martial Arts", applied re-inforcement learning, scaling AI workloads using Ray - Max Pumperla - The Data Scientist Show #065
The Data Scientist Show
How to Improve Your Machine Learning Model
I think innovation can come in different ways. How you present it, how you understand your users' need is eventually going to differentiate your product. I'm sure there could be 100 companies doing some similar AI product, but not every thing has the adoption like GPT. And so kind of going back, as we mentioned, chat GPT, I think it also made a lot of people interested in reinforcement learning. So what are some common mistakes you see people make in reinforcement learning?
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