3
$\begingroup$

Have been learning Machine Learning concepts and doing hands-on past few months. Now got a bit different doubt than implementation of code.

This is regarding measures to be considered while deploying in a Prod environment, say something like "A newbie's checklist to ML production" example -

  • Are Feedback loops always considered?
  • Is cross-validation done in final prod model or only during train/test the model?
  • How the auto-suggestion in Amazon or any ecommerce website works? - Meaning does the model get trained on every page load or already pre-trained and just predicts (suggests) based on user selections?

I know the questions are too general and newbie, but will help many to understand the concepts relating to real-world. Please advise.

Let me know for any further information and I will be happy to furnish/respond.

$\endgroup$
1
$\begingroup$

I got some pointers (below links) to my doubts. Hope it helps other future readers as well.

Will keep updating this space as and when I get some good answer(s) regarding this.

$\endgroup$

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.