The method in which the previously calculated probabilities are revised with new probabilities is classified as(1 Point)Updating theoremDependency theoremCentral Limit TheoremBayes theorem

'' theorem uses the total probability rule to update the probability of an event that has been affected by a new piece of evidence

On the basis of new information, we update the prior probability to arrive at a conditional probability called a '' probability.

The original probability is an unconditional probability called a '' probability, in the sense that it reflects only what we know now before the arrival of any new information.

How does the Naive Bayes classifier calculate the probability of a data point belonging to a particular class?Select one:a.By using the maximum likelihood estimationb.By using the least squares methodc.By using the gradient descent algorithmd.By using the Bayes theorem

A1. The probability that each item coming off a production line is defective is pand theprobability that it is non-defective is q, 0 < p < 1, p+q= 1. At the beginning of aday’s production, a quality control officer repeatedly inspects item each coming off aproduction line until he inspects nitems. Let Xbe the number of defective items hefinds.(a) Write down without proof the probability that X=k, indicating the possiblevalues of k. Hence, by considering the expansion of p+qn+q−pn. Show thatthe probability that Xis even is121 + (1 −2p)n