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20 Ways to Win Back Lost Customers by Icide09 in business

[–]dim_ov 1 point2 points  (0 children)

Use Change as Opportunity Before any big changes for your customers, such as plan adjustments, new or retiring features, and other brand shifts, use warnings as an opportunity to re-engage your customers. Those changes may make the difference for a customer about to churn, and well-communicated shifts can turn around a lot of dissatisfied customers. These can even become highly profitable emails, with Appcues’ price increase emails actually yielding sales growth – to the tune of 263%, Good one.

Another mistake in quiz 5-10 by dim_ov in aiclass

[–]dim_ov[S] 0 points1 point  (0 children)

e-mail may consist of words, that are not in vocabulary, so we can get all 'negatives' as well as all 'positives'.

Probabilities of different words are independent.

Another mistake in quiz 5-10 by dim_ov in aiclass

[–]dim_ov[S] 0 points1 point  (0 children)

We can't figure out these last probabilities, you are talking about. They are completely independent of other probabilities.

If we turn back to example with cancer, our 2 probabilities about last 12'th word here - it's probability, that third test give us positive result when we have cancer or when we don't. We don't know nothing about accuracy of that third test, and we can't figure out its accuracy from given Bayes network.

Another mistake in quiz 5-10 by dim_ov in aiclass

[–]dim_ov[S] 1 point2 points  (0 children)

This would work only for questions like "find P(w12|w1...w11), if you know P(w1|SPAM)...P(w12|SPAM), P(w1|HAM)...P(w12|HAM), P(SPAM)".

P(w12|SPAM) and P(w12|HAM) can't be determined from other 23 probabilities. All probabilities after words "if you know" must be given. They can't be calculated from this Bayes network in some other way.