Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that answer questions, diagnose diseases, recommend music and ...

It is a great honor and delight to deliver this year’s Feldstein Lecture. I was never one of Marty’s students—I was educated not at Harvard, but at Princeton and MIT. Yet Marty nonetheless had a ...

Our mission is to conduct innovative and socially relevant research; to expand students’ intellectual vistas via critical perspectives and valuable tools and skills; and to catalyze sustainable ...

bInstitute of Public Health, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany cAG Computational Medicine, Berlin ...

These lecture notes provide a self-contained introduction to the foundations of statistical inference at undergraduate and postgraduate level. The notes are primarily intended for students of ...

This course aims to develop a computational view of stochastic differential equations (SDEs) for students who have an applied or engineering background, e.g., machine learning, signal processing, ...

The recent emergence and popularity of online educational resources brings with it challenges for educators to optimize the dissemination of online content. Here we provide evidence that points toward ...

You can use this work for any purpose, as long as it is not primarily intended for or directed to commercial advantage or monetary compensation. You should also provide attribution to the original ...