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.
Follow the attach document to complete this work. Questions: 1. How is technology increasingly used in healthcare beyond
Follow the attach document to complete this work. Questions: 1. How is technology increasingly used in healthcare beyond electronic health records (HER)? Give some examples. 2. Would you personally participate in robot assisted/telesurgery as a patient or a medical professional? Why or why not? Resources 20 Examples Of IoT Wearables