Explore Machine Learning from Scratch

Many people imagine that data science is mostly machine learning and that data scientists mostly build and train and tweak machine-learning models all day long. In fact, data science is mostly turning business problems into data problems and collecting data and understanding data and cleaning data and formatting data, after which machine learning is almost an afterthought. Even so, it's an interesting and essential afterthought that you pretty much have to know about in order to do data science. Before we can talk about machine learning we need to talk about models. It's simply a specification of a mathematical (or probabilistic) relationship that exists between different variables.