How Product Managers Should Approach AI/ML by Facebook PM
The Product Podcast
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What Are Some of the Common Mistakes That Can Go Wrong With a I?
The first problem that i'd like to focus on is has to do with the data driven nature of ai. If you put in garbage data in, you're going to get garbage data out. The sample size was relative, was too small relative to the problem that you were trying to solve. Second, see if you can create quality gaits ahead of any feet back loot back into your model.
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