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In this video, I look at the difference between a data scientist and an ML engineer! We're gonna look at five different things:
1) How do you define these two roles and what are they?
2) What are the educational requirements for each of them?
3) How much money do each of those roles make?
4) What does the future look like for each of these roles?
5) And then, how exactly do you decide which of these two to get into?
My business analyst vs. data scientist comparison video: [ Ссылка ]
A good ML engineer definition (source: Tomasz Dudek @ Medium): [ Ссылка ]
How to Become a Machine Learning Engineer (DiscoverDataScience.org): [ Ссылка ]
Machine Learning Engineer vs. Data Scientist (Springboard):
[ Ссылка ]
Indeed: [ Ссылка ].
Discussion on ML engineers losing their jobs (source: Chris I. @ Medium): [ Ссылка ]
Discussion on ML engineers not existing (source: Luke Posey @ Medium): [ Ссылка ]
Glassdoor (data scientist): [ Ссылка ]
Glassdoor (ML engineer): [ Ссылка ]
Ещё видео!