0
$\begingroup$

I am looking for a reference on applied machine learning, esp. around model deployment to production environments and model evaluation. There are plenty of references about models, how to learn models, how to engineer features ... but deploying models to production is not trivial at all. For example, how do you measure the performance of a new model, if there is an existing one deployed, and you don't want to perturb the actions of the first model too much? Is there any good reference on that kind of topic?

$\endgroup$
2
$\begingroup$

Google's Rules of Machine Learning provides a nice set of practical guidelines.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.