31. Speed-Accuracy Tradeoff

Question:

If speed is a major consideration (and for many real-time machine learning applications, it certainly is) then you may want to sacrifice a bit of accuracy if it means you can train/predict faster. Which of these are applications where you can imagine a very quick-running algorithm is especially important?

predicting the author of an email

flagging credit card fraud, and blocking a transaction before it goes through

voice recognition, like Siri