What is THE main reason most ML projects fail?
You might have been using ML as a scapegoat…
Published in
4 min readJan 30, 2020
Yes, ML can be hard. Yes, most companies are still unaware that Applied ML and ML Research are 2 completely different disciplines. Yes, there’s still technical friction in going from experimentation to production. Yes, managing data at scale can be painful. And yes… many ML projects fail because of one or more…
