[Editor's note: For an intro to floating-point math, see Tutorial: Floating-point arithmetic on FPGAs. For a comparison of fixed- and floating-point hardware, see Fixed vs. floating point: a ...

The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

People are often confused about what these are and what the difference is. So here is an explanation using the old-fashioned way: in an Excel spreadsheet Machine learning gets a lot of buzz. The two ...