We've all heard about AI, ML, Data Classification, etc. All cool!But what about building decision-making assistants AKA Recommendation Systems? Ever heard of them? No? Great! We'll cover the basics of Math, then proceed with a brief overview of Classification, and finally, discuss how we can use Matrix Factorization techniques to build state-of-the-art Rec. Systems! Prerequisite to this presentation is a familiarity with Data Classification Systems. Anything else is not really required as we will introduce it through a series of examples.
