We review machine learning methods employing positive definite kernels. These methods formulate learning and estimation problems in a reproducing kernel Hilbert space (RKHS) of functions defined on ...

AI hype has researchers in fields from medicine to political science rushing to use techniques that they don’t always understand—causing a wave of spurious results.

We discuss the relevance of the recent machine learning (ML) literature for economics and econometrics. First we discuss the differences in goals, methods, and settings between the ML literature and ...

By giving access to a broader set of methods, Skytree enables users to make decisions across different factors (accuracy, speed, simplicity, etc.).

Using a three-year growth forecast model, our analysis estimates that research on transfer learning methods will grow the fastest through 2023 among the small data categories we considered.

Though machine learning has long been part of Google’s technology — and Google has been a leader in hiring experts in the field — the company circa 2016 is obsessed with it.

Quantitative crypto finance has a wide array of machine learning techniques to call on. Here are five, explained for their characteristics.