Machine Learning, meet Computer Vision – Part 2

This blog post is co-authored by Jamie Shotton, Antonio Criminisi and Sebastian Nowozin of Microsoft Research, Cambridge, UK. In our last post, we introduced you to the field of computer vision and talked about a powerful approach, classifying pixels using decision forests, which has found broad application in medical imaging and Kinect. In this second… Read more

Exploration: Data Science… with Mario Garzia

This blog post is authored by Mario Garzia, Partner Data Sciences Architect, Technology and Research Data Science and “big data” have become 21st century buzzwords in the tech industry. Yet in many ways the term “Big Data” is relative to our ability to collect, store and process data. Big data challenges are not new, historically… Read more

Vowpal Wabbit for Fast Learning

This blog post is authored by John Langford, Principal Researcher at Microsoft Research, New York City. Vowpal Wabbit is an open source machine learning (ML) system sponsored by Microsoft. VW is the essence of speed in machine learning, able to learn from terafeature datasets with ease. Via parallel learning, it can exceed the throughput of… Read more

Machine Learning, meet Computer Vision

This is part 1 of a 2 part series, co-authored by Jamie Shotton, Antonio Criminisi and Sebastian Nowozin of Microsoft Research, Cambridge, UK. The second part was later posted here. Computer vision, the field of building computer algorithms to automatically understand the contents of images, grew out of AI and cognitive neuroscience around the 1960s…. Read more

In Conversation with John Platt

You’ve heard from John Platt a few times on this site, including his introductory post on What is Machine Learning? and this piece where he talks about Twenty Years of Machine Learning at Microsoft. Larry Larsen from Channel 9 recently got the opportunity to have an in-depth conversation with him. See what John has to… Read more

Machine Learning Summer School at CMU

This blog post is authored by Markus Weimer, Principal Scientist at Microsoft Eight years ago, I made the 24-hour journey from my college town of Darmstadt, Germany, to Canberra, Australia to attend a Machine Learning Summer School (MLSS) there. Why, you might ask? At the time, I didn’t have a good answer myself, to be… Read more

Machine Learning and Text Analytics

The following post is from Dr. Ashok Chandra, Distinguished Scientist at Microsoft Research and Dhyanesh Narayanan, Program Manager at Microsoft Research When I (Ashok) was a student at the Stanford Artificial Intelligence Laboratory in the 70’s, there was great optimism that human-level machine intelligence was just around the corner. Well, it is still just around the… Read more

Users Embrace Azure ML Public Preview

This blog post is authored by Roger Barga, Group Program Manager for Microsoft Azure Machine Learning Last month we announced Microsoft Azure Machine Learning and, this week, we made it available for public preview at our Worldwide Partner Conference 2014 (WPC). There was a lot of excitement and anticipation in our team leading up to… Read more

How Azure ML Partners are Innovating for their Customers

This blog post is authored by Joseph Sirosh, Corporate Vice President of Machine Learning at Microsoft. Last week, Microsoft announced a preview release of Azure Machine Learning (Azure ML) which is now available for customers and partners to try. Azure ML is a fully managed service in the cloud that allows you to publish advanced… Read more

Machine Learning for Industry: A Case Study

This blog post is authored by Chris Burges, Principal Research Manager at Microsoft Research, Redmond. Hi, I’m Chris Burges. Over my last 14 years at Microsoft, and my previous 14 at Bell Labs, I’ve spent much of my time dabbling with machine learning (ML), with some of that time spent on solving industrial strength problems…. Read more