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If you've had any exposure to Bayesian statistics, it's very easy to explain the approach. You're basically tokenizing the email by word, and then predicting th
by tymekpavel 14y ago
If you've had any exposure to Bayesian statistics, it's very easy to explain the approach. You're basically tokenizing the email by word, and then predicting the probability that P(email is spam|token).
I would expect any data science candidate to have (at least) a basic understanding of Bayesian statistics.
- a_bonobo 14y agoIt's just that an e-mail filter is the last thing most scientists working in biology, chemistry, physics, medicine are actually working with, so it's (in my opinion) a rather unfitting example, you might be selecting against these people who fit the bill of "data scientist" probably better than the average "I once did something in Excel"-web guy.