Is There a Difference Between Sef Development and Machine Learning?

In most companies, data scientists are not working in a vacuum. The idea tthe tooling that we use needs to be able to interact with the tooling used by softer developers is also very important. I always look at something with a lot of skepticism if it says its m l focused version of something that we've already known for years. But i think there's even more recent activity popping up called deep checks, which is another layer into machine learning.

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