DSLC VideosAug 8, 2024

Recent @DSLC club meetings:

 The Effect: 5 "Identification" https://youtu.be/2XITeWLTZZQ #CausalAnalysis

 ggplot2: 5 "Statistical summaries" https://youtu.be/nwZ3YZTxbPo #DataViz #ggplot2

 Practical Deep Learning for Coders: 7 "Collaborative filtering" https://youtu.be/KE7Igp_IGH4 #DeepLearning #AI

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Show threadBryan S. WeberOct 11, 2023

Here's where you can see our work!

https://ojs.aaai.org/index.php/AIIDE/article/view/27497

Keywords: #machinelearning, #anticipatorythinking, #games, #starcraft, #ai, #CausalAnalysis

Risk Management: Anticipating and Reacting in StarCraft | Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Martin HuberAug 1, 2023
Exciting news! 🎉📚 Today (August 1st) marks the official release of my book #CausalAnalysis, available now in bookstores worldwide: https://mitpress.mit.edu/9780262545914/causal-analysis/
Causal Analysis

A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and ...

MIT Press
Martin HuberJul 3, 2023
Just under a month left until my book #CausalAnalysis - #ImpactEvaluation and #CausalMachineLearning with Applications in R is released on Aug 1st by @mitpress: https://mitpress.mit.edu/9780262545914/causal-analysis/
Causal Analysis

A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and ...

MIT Press
Martin HuberJan 30, 2023
Very interesting blog post on dos and don’ts in #EventStudies and #DifferenceInDifferences for #CausalAnalysis by Nazlı Alagöz: https://towardsdatascience.com/event-studies-for-causal-inference-the-dos-and-donts-863f29ca7b65?source=social.tw
Event Studies for Causal Inference: The Dos and Don’ts

Event studies are useful tools in the context of causal inference. They are used in quasi-experimental situations. In these situations, the treatment is not randomly assigned. Thus, in contrast to…

Towards Data Science
Martin HuberJan 7, 2023
Check out this compilation of free #causalinference resources by @[email protected] https://link.medium.com/REoRHqc5owb #causaltwitter #causalanalysis
Martin HuberNov 23, 2022
🔥Join us for our 3rd #WinterSchool in #DataAnalytics and #MachineLearning, Feb 6-17 2023 at @[email protected] @[email protected] (hybrid format)! Courses on #MachineLearning, #DeepLearning, and #CausalAnalysis using #Knime, #RStats, #Python. Register here until Jan 31: https://www.unifr.ch/appecon/en/winterschool/
Further education | Chair of Applied Econometrics and Policy Evaluation | University of Fribourg

Martin HuberNov 14, 2022
Exciting news concerning my textbook "#CausalAnalysis: #ImpactEvaluation and #CausalMachineLearning with Applications in R (#RStats). I've just submitted the final corrections to the publisher @[email protected]
😊The book will be available in summer 2023, including a free online version.
Martin HuberNov 5, 2022
🔥 Registration is open for the 3rd #Fribourg #WinterSchool in #DataAnalytics and #MachineLearning, taking place Feb 6-17 2023 in hybrid format: https://www.unifr.ch/appecon/en/winterschool/ Get trained in quantitative methods for #prediction and #CausalAnalysis using #Knime, #RStats, and #Python 😀
Further education | Chair of Applied Econometrics and Policy Evaluation | University of Fribourg

Marcel Ribeiro-Dantas, PhD🔎📊Apr 11, 2022

RT @[email protected]

Delighted to announce that @[email protected] is going to publish my book "#CausalAnalysis: Impact evaluation and #CausalMachineLearning with applications in #RStats". 😃 #EconTwitter #EpiTwitter #CausalTwitter
Special thanks to @[email protected] and @[email protected] for their support and advice! https://twitter.com/CausalHuber/status/1463235219167662084

🐦🔗: https://twitter.com/CausalHuber/status/1513415481046323200

MartinHuber on Twitter

“#EconTwitter check out the 1st draft of my book #CausalAnalysis, covering methods of #CausalInference/#PolicyEvaluation (also trends like #CausalMachineLearning) and including practical examples in R (#RStats) - here's the link: https://t.co/b0EpXziovL #EpiTwitter #CausalTwitter”

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