What's the difference between machine learning, statistics, and data mining? - SHARP SIGHT LABS

Over the last few blog posts, I've discussed some of the basics of what machine learning is and why it's important: Throughout those posts, I've been using the following definition of machine learning: creating computational systems that learn from data in order to make predictions and inferences. However, machine learning isn't the only subject in which we use data for prediction and inference. Anyone who's taken an introductory statistics class has heard a similar definition about statistics itself. And if you talk to someone who works in data-mining, you'll hear the same thing: data mining is about using data to make predictions and draw conclusions from data. This raises the question: what is the difference between machine learning, statistics, and data mining? The long answer has a bit of nuance (which we'll discuss soon), but the short answer answer is very simple: machine learning, statistical learning, and data mining are almost exactly the same.