Category Archives: Unsupervised, Supervised, Hypothesis, and Cost Functions

Welcome to the Machine Learning part of the blog! Let’s start out with finding the differences between supervised and unsupervised learning. By definition, “the main difference between the two types is that supervised learning is done using a ground truth, or in other words, we have prior knowledge of what the output values for our …

Continue reading “Unsupervised and Supervised Learning with Introduction to Hypothesis and Cost Functions”