Data platforms and analytics
Microsoft Research Blog
Microsoft researchers unlock the black box of network embedding
At the ACM Conference on Web Search and Data Mining 2018, my team will introduce research that, for the first time, provides a theoretical explanation of popular methods used to automatically map the structure and…
Podcast
Getting LinkedIn to Data Science with Dr. Igor Perisic
Episode 11, February 7, 2018 – Big data is a big deal, and if you follow the popular technical press, you’ll have heard all the metaphors: data is the new oil, the new bacon, the…
Video
Experimentally Reducing Partisan Incivility on Twitter
Cross-partisan incivility is a pressing concern in American politics, especially online. When partisans communicate incivilly, they are less likely to learn from each other and more likely to distrust each other. This paper analyses the…
Video
Maximally Recoverable Local Reconstruction Codes
Protecting huge amounts of data stored in the cloud from server crashes resulted in distributed storage systems transitioning to erasure coding based schemes. Local Reconstruction Codes (LRCs) have emerged as the codes of choice for…
Video
Learning From and Dealing With Real, Rare World Data In Computer Vision
Computer Vision has achieved tremendous progress in recent years. Primarily because of the availability of massive datasets (e.g., ImageNet or the Yahoo YFCC100m) as well as novel algorithms (e.g., deep learning or large-scale SfM pipelines).…
Publication