Learning Objectives: 1. Understand the difference in substance and application between supervised and unsupervised machine learning algorithms. 2. Determine a baseline understanding of how to apply ...

Introduction to Supervised Learning ¶ the task of supervised learning is as follows: Given a training set of N example input-output pairs (x1,y1), (x2,y2), … (xN,yN) (x 1, y 1), (x 2, y 2), (x N, y N) ...