Data platforms and analytics
Advancing data systems and analytics that enable scalable insights, intelligent applications, and scientific discovery.
FLAML: A Fast Library for AutoML and Tuning
FLAML is a Python library designed to automatically produce accurate machine learning models with low computational cost. It frees users from selecting learners and hyperparameters for each learner. FLAML is powered by a new, cost-effective…
Open Academic Graph
Open Academic Graph (OAG) is a large knowledge graph unifying two billion-scale academic graphs: Microsoft Academic Graph (MAG) and AMiner. In mid 2017, we published OAG v1, which contains 166,192,182 papers from MAG and 154,771,162 papers from AMiner…
Large Scale Intelligent Microservices – IEEE Big Data 2020 Paper Presentation
Deploying Machine Learning (ML) algorithms within databases is a challenge due to the varied computational footprints of modern ML algorithms and the myriad of database technologies each with their own restrictive syntax. We introduce an…
Foundations of causal inference and its impacts on machine learning webinar
In this webinar, join Microsoft researchers Amit Sharma and Emre Kıcıman to learn about the fundamentals of causal inference. You will learn how a target question of cause and effect can be captured in a…
