By Joseph Sirosh, Corporate Vice President and CTO of AI, and Sumit Gulwani, Partner Research Manager, at Microsoft.
Understanding Regression Error Metrics
Human brains are built to recognize patterns in the world around us. For example, we observe that if we practice our programming everyday, our related skills grow. But how do we precisely describe this relationship to other people? How can we describe how strong this relationship is? Luckily, we can describe relationships between phenomena, such as practice and skill, in terms of formal mathematical estimations called regressions.
Inside Higher Ed: Pushing the Boundaries of Learning With AI
At Rensselaer Polytechnic Institute, students are immersing themselves in Chinese culture without setting foot outside their classroom.
Distilled News
Sequence Modeling with Neural Networks – Part I
Distilled News
The Open Data Initiative
Morph, an open-source tool for data-driven art without code
Morph, by Datavized in collaboration with the Google News Initiative, is a tool to generate abstract images from data:
You’ve got data on 35 countries, but it’s really just N=3 groups.
Jon Baron points to a recent article, “Societal inequalities amplify gender gaps in math,” by Thomas Breda, Elyès Jouini, and Clotilde Napp (supplementary materials here), and writes:
Help improve lives through Machine Learning by joining the AWS DeepLens Challenge!
Today, we’re unveiling a fresh approach to the AWS DeepLens Challenge. We are bringing you four challenges to choose from–sustainability, games, health and inclusivity. Now you can be inspired to create machine learning projects with AWS DeepLens and make a difference at the same time! Use these challenges to gain machine learning experience with fun, collaborative, and inspiring projects. In addition, you’ll be making a positive impact on improving people’s lives and supporting non-profit organizations that benefit our society.
A Better Example of the Confused By The Environment Issue
Our interference from then environment issue was a bit subtle. But there are variations that can be a bit more insidious.
Whats new on arXiv
A Fairness-aware Hybrid Recommender System