ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Обновлено 2024-09-16 22:53:08 +03:00
Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.
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Обновлено 2024-06-05 18:04:19 +03:00
🌱 Join a community of developers at Microsoft Reactor and connect with people, skills, and technology to build your career or personal learning. We offer free livestreams, on-demand content, and hybrid/in-person events daily around the world. Access our projects and code here.
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Обновлено 2023-09-01 14:55:23 +03:00
This is a repo to implement Anomaly Detection which is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations.
Обновлено 2023-01-25 22:08:32 +03:00
Provides open-source ETL solutions for the EdTech community, built with Azure Data Factory.
Обновлено 2020-11-12 20:05:47 +03:00
INACTIVE - http://mzl.la/ghe-archive - UCOSP winter cohort internship project to perform exploratory data analysis on tracking technologies on the Web.
Обновлено 2018-06-06 02:39:12 +03:00