Machine learning not only is big in Microsoft Research, but it is pervasive throughout all Microsoft products. So whenever you use a Microsoft product you're using a system that's been generated from machine learning. By leveraging insights from Office 365 and mapping the relationships between people, groups, files and conversations through machine learning, we can intelligently connect and surface the most relevant content using the Office Graph. Cortana, the new digital personal assistant powered by Bing that comes with Windows Phone 8.1, continually learns about its user and becomes increasingly personalized, with the goal of proactively carrying out the right tasks at the right time. If its user asks about outside temperatures every afternoon before leaving the office, Cortana will learn to offer that information without being asked. Cortana’s design philosophy is entrenched in state-of-the-art machine-learning and data-mining algorithms.
Here are some resources that I love if you are diving into the world of Machine Learning.
CIML is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.). It's focus is on broad applications with a rigorous backbone. A subset can be used for an undergraduate course; a graduate course could probably cover the entire material and then some.
Machine Learning course - recorded at a live broadcast from Caltech taught by Feynman Prize winner Professor Yaser Abu-Mostafa
Its aim is to develop the understanding of Machine Learning Theory and its applications by providing a first set of useful website links to students and/or developers.
Data Science Stack Exchange is a free question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
Really useful resources .. Thanks for sharing.