Machine Learning, Mathematics, Math, Probability, Statistics.
the two solutions agree, since (1 – 1/2)/(1/2) also equals 1. If we plug in a value for p that is less than 1/2, such as 1/4 we find that the probabilities are invalid since they are greater than 1. Example of an invalid probability What does this mean to us? This means that we should model this