AI News, Machine Learning FAQ

Machine Learning FAQ

However, there is this popular saying: “that if al that you have is a hammer everything starts to look like a nail” The math behind neural nets is probably a bit harder to understand, but I don’t think they are really black boxes.

However, I think people in the biosciences prefer “interpretable” results, e.g., decision trees where they can follow the “reasoning” step by step.

Of course, the primary goal is often to a good agonist or antagonist (inhibitor or drug) in a million-compound database to solve a particular problem;

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