Machine Reading at Scale – Transfer Learning for Large Text Corpuses

This post is authored by Anusua Trivedi, Senior Data Scientist at Microsoft. This post builds on the MRC Blog where we discussed how machine reading comprehension (MRC) can help us “transfer learn” any text. In this post, we introduce the notion of and the need for machine reading at scale, and for transfer learning on… Read more

Improving Medical Imaging Diagnostics Using Azure Machine Learning Package for Computer Vision

This post is by Ye Xing, Senior Data Scientist, Tao Wu, Principle Data Scientist Manager, and Patrick Buehler, Senior Data Scientist, at Microsoft. The advancement of medical imaging, as in many other scientific disciplines, relies heavily on the latest advances in tools and methodologies that make rapid iterations possible. We recently witnessed this first-hand when… Read more

How to Develop a Currency Detection Model using Azure Machine Learning

This post is authored by Xiaoyong Zhu, Anirudh Koul and Wee Hyong Tok of Microsoft. Introduction How does one teach a machine to see? Seeing AI is an exciting Microsoft research project that harnesses the power of Artificial Intelligence to open the visual world and describe nearby people, objects, text, colors and more using spoken… Read more

Transfer Learning for Text using Deep Learning Virtual Machine (DLVM)

This post is by Anusua Trivedi, Data Scientist, and Wee Hyong Tok, Data Scientist Manager, at Microsoft. Motivation Modern machine learning models, especially deep neural networks, can often benefit quite significantly from transfer learning. In computer vision, deep convolutional neural networks trained on a large image classification datasets such as ImageNet have proved to be… Read more