Here X is a vector (features of an example), W are the weights (vector of parameters) that determine how each feature affects the prediction andb is bias term. So our task T is to predict y from X, now we need to measure performance P to know how well the model performs. In 1967, the “nearest neighbor” algorithm was designed which marks the beginning of basic pattern recognition using computers. The program will use whatever data points are provided to describe each input object and compare the values to data about objects that it has already analyzed. In this article,… Read More