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.
Create queries using Design view as shown on figure 2-2 on AC2-4. Include fields in the design grid a in figure 2-5 on AC 69. Use text and numeric data
Create queries using Design view as shown on figure 2-2 on AC2-4. Include fields in the design grid a in figure 2-5 on AC 69. Use text and numeric data in criteria as in figure 2-6 on AC 70 – AC 78. Save a query and use the saved query