This report seeks to critically assess the use of machine learning algorithms for policing, and provide practical recommendations designed to contribute to the fast-moving debate over policy and ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of science, technology, and medicine news ...

We develop novel methods to make Bayesian inference more efficient, scalable, and practical. This includes work on variational methods, Monte Carlo algorithms, and techniques for handling complex ...