MACHINE LEARNING FOR BEGINNERS

Hi everyone, I'm reposting all of my old blogs, as my account got hacked. This blog was originally published on March 6, 2019. Within the field of machine learning, there are two main types of tasks: supervised, and unsupervised. 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 samples should be. Therefore, the goal of supervised learning is to learn a function that, given a sample of data and desired outputs, best approximates the relationship between input and output observable in the data.