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Why he quit a $500k+ machine learning job at Meta (Facebook): a candid review of his experience, mistakes, and ML best practices - Damien Benveniste - the data scientist show049
The Data Scientist Show
Time Boxing in Machine Learning
As long as your model is not in production, no value is being generated. You need to start building pipe lines a before you have a final moderl because it's going to take time to build pipe lines. If you pretend solving a problem, you need to be an expert on that problema. And then you need one ino, you know, fas, like er choos, choosing your data, cross vadating, you hypopamete, training a model. All of that can be timedr and can be short cut. So we ave te nof it. It's machi. Itink mat learning is not one percent job. Ah, thanks
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