Recent content by zoecre

A practical understanding of Machine Learning starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is deployment. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...

I think improve and deployment is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. The original point — "I am trying to improve my approach to Off Topic and could use some...

There are several ways to approach Meta AI, so I wanted to compare experiences. I am particularly interested in collaboration and evaluation. I would like to compare approaches that people have actually used rather than just theoretical suggestions. Which approach would you recommend and why?