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.
Goal: Students will be able to analyze historical speeches and identify informative and persuasive components of public
Goal: Students will be able to analyze historical speeches and identify informative and persuasive components of public presentations. Description: Watch Julian Treasure’s presentation called “How to speak so that people want to listen.” As you watch his presentation, pay close attention to his visual aids and how he incorporates them in his




