4 Mistakes that Machine Learning Startups Do
For the past 25 years, I’ve seen thousands of times when a person makes errors — but never when a machine makes a mistake. Today, a blunder in the learning projects can cost companies millions and several years of useless work. For this reason, the most common errors in machine learning related to data, metrics, validation, and technology are collected here.
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