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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
Measuring Your Impact
You have to gather that information of what is the current base line, or if there's noa base line. And when you launch the project, if you're not at meta, maybe as ha data sign sometimes you don't know what is the change. So it's very important to go and get your hands dirty in trying to understand how much of business metric you're actually improving. It's important in al likea in machinaning, we care about a u c in no cresantrope and those kind of metricks are nota meaningful business wise.
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