There are several ways to approach Machine Learning, so I wanted to compare experiences.
I am particularly interested in evaluation and real-world use. I would like to compare approaches that people have actually used rather than just theoretical suggestions.
What has worked best for you, and what would you avoid?
I am particularly interested in evaluation and real-world use. I would like to compare approaches that people have actually used rather than just theoretical suggestions.
What has worked best for you, and what would you avoid?