By Jennifer T. Chayes, Distinguished Scientist and Managing Director, Microsoft Research, and ACM Fellow Machine learning (ML) is a subfiel... (more…)

A brief introduction to machine learning and neural networks. (more…)

Analyzing design patterns that help ML collect signal. (more…)

In the first part, I described the context of how academic and industrial problem solving differ. The primary differences are the timeline of the solution and the complexity. When you prepare to solve a problem that will be part of a product, you can expe... (more…)

This monograph aims at providing an introduction to key concepts, algorithms, and theoretical results in machine learning. The treatment concentrates on probabilistic models for supervised and unsupervised learning problems. It introduces fundamental conc... (more…)