Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In most ...

A demo on identifying clusters in a data set using the D-Wave quantum computer. When dealing with large data sets, we do not always have neatly labeled data (i.e. most, if not all, the data could be ...

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 ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...