Uber's ML Systems (Uber Eats, Customer Support), Declarative Machine Learning - Piero Molino - The Data Scientist Show #064
The Data Scientist Show - Daliana Liu
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How to Break Down the Process of a Machine Learning Project
The whole process was like any territory process that started from understanding the problem in detail as much as possible. And then defining features and things that are believed to be impactful for determining whatever is that we're going to predict in the machine learning project. It's a whole of it because there's also procedures and how the data is generated that is very important. But I'm assuming that they have to begin with, it's a great setting point. Definitely is the next step.
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