How do you improve limitations when working with Machine Learning?

[makerphoebe]

There are several ways to approach Machine Learning, so I wanted to compare experiences.

I am particularly interested in limitations and common mistakes. I would like to compare approaches that people have actually used rather than just theoretical suggestions.

What trade-offs have you found between quality, speed, cost, and reliability?

 

[jamiemetro96]

One thing worth trying with How do you improve limitations when working with Machine Learning? is a controlled comparison around limitations and machine. Use the same input for each test and note what changes in the output rather than judging from a single run. It also gives you a cleaner baseline if you want to compare tools or settings later.