Re:End-to-end implementation of a machine learning pipeline ...
by crucialfelix on Thursday October 25, 2018 @03:39PM
(#18303923)
Yes, Jupyter is for initial exploration. Then you write solid normal production code. Then you might write further notebooks that import that production code and run/visualize metrics and reporting for your client (probably non-technical people).
I had a "data scientist" submit notebooks to us as if we could ship any of that in production. (We fired him.) It's for hacking and blogging, not for production work.
I had a "data scientist" submit notebooks to us as if we could ship any of that in production. (We fired him.) It's for hacking and blogging, not for production work.