Section 19.6.5 noted that the output of the logistic function could be interpreted as a probability p assigned by the model to the proposition that f(x)=1; the probability that f(x)=0 is therefore 1 – p. Write down the probability p as a function of x and calculate the derivative of log p with respect to each weight wi. Repeat the process for log(1-p). These calculations give a learning rule for minimizing the negative-log-likelihood loss function for a probabilistic hypothesis. Comment on any resemblance to other learning rules in the chapter.
In Basketball Stars, a player attempts 25 shots in one game.
In basketball stars, a player attempts 25 shots in one game. a) If 15 shots are successful, what is the player’s shooting percentage? b) The next game, the player makes 18 out of 30 shots. Compare the two shooting percentages. c) What is the overall shooting percentage across both