Probability theory is the branch of mathematics concerned with distributions, expected values, maximum likelihoods, the description of variation.
I want to generate a number based on a distributed probability. For example, just say there are the following occurences …
c# random probability probability-theoryI have read some papers regarding to non-iid data. Based on Wikipedia, I know what iid (independent and identical distributed) …
statistics machine-learning probability-theoryI'm trying to create a percentage-based probability for a game. E.g. if an item has a 45% chance of a …
c# probability probability-theoryI'm trying to determine how my crc compares to an "ideal" 32bit crc. So I ran my crc over 1 million …
probability crc crc32 probability-theoryGiven a mean and standard-deviation defining a normal distribution, how would you calculate the following probabilities in pure-Python (i.e. …
python math probability probability-theoryI want to ask you about the notation in probability. I know that P(A | B) = the conditional probability that …
math boolean probability notation probability-theoryHow does tf.multinomial work? Here is stated that it "Draws samples from a multinomial distribution". What does that mean?
tensorflow machine-learning probability-theory