Fitting data via a polynomial can be done using a learning agent that minimizes the learning criteria. Show the learning approach to fit 10 data points with a 3rd-degree polynomial and the error function that is being minimized

Online learning is when we update our model based on all data samples none of the above one data sample at a time a subset of data samples

A decision tree, otherwise known as a clasification or regression tree, is     usually a linear problem with analytical solution.     unsupervised learning.     supervised learning.     usually obtained through averaging the predictions from many trees.

Calculate your learning trajectory In helloWorld.m, make a linear time vector tvec that has 10,000 samples between 0 and endofClass Calculate the value of your knowledge (call it knowledgeVec) at each of these time points using the same equation as before: k=1-et/t