Les 10 concurrents inference.vc les plus visités

causalwizard.app

explore cause and effect in historical data; predict the effects of counterfactual scenarios and other interventions using the latest causal inference methods and machine learning tools, in an online web-app software. causal wizard provides graphical causal software toosl for causal ml risk analysis, asset management, product research, market research, user research, and industrial process optimization.

learning-systems.org

Scientist working in the Haptic Intelligence Department at the Max Planck Institute for Intelligent Systems receives great media feedback on her research

research.atspotify.com

Spotify's catalog includes millions of music tracks and podcasts and has recently expanded to Audiobooks. Personalizing this content to users requires our algorithms to “understand” user preferences as well as content relationships across all content types. We argue that this level of algorithmic understanding can be efficiently achieved with graph-based machine learning, in a way that remains scalable for production. In May 2024, we present two papers around this topic at the Web Conference.

causalinf.substack.com

Scott's Mixtape Substack by Scott Cunningham is dedicated to educating people about causal inference. Simplifying complex topics in causal inference and econometrics, it offers high-quality content, and other resources. Click to read Scott's Mixtape Substack, by scott cunningham, a Substack publication with tens of thousands of subscribers.

datascience.oneoffcoder.com

data science topics

irislab.stanford.edu

we are the iris lab at stanford. we are interested in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. to that end, we work on robotics and machine learning.