Odds and probability
In this section you say that 3:1 would be three chances of winning the bet and one of losing. May be different across countries but in the UK 3:1 would mean the reverse. 100:1 would, for example, be a very long shot. The course is really interesting though, especially the use of…
Chapter 3, Exercise 10: Bayes rule (part 1 of 2)
In Helsinki, the chances of having a cloudy morning on a rainy day are 9 out of 10. Therefore, the odds for rain having observed clouds in the morning should logically be 9:1, and the prior odds for rains of 206:159 ideally should have no relevance. what do you think, friends?
What the heck is this equation
tf - idf = tf * log(1/df) This is seen in the working with words section about the tf-idf method. Now I totally understand the method but this just caught me off guard. I spent some time trying to mathematically prove this statement, then I gave up, plugging it into wolfram…