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I am trying to improve my approach to Machine Learning and could use some practical advice. I am particularly interested in troubleshooting and security. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What has worked best for you...

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