Recent @DSLC club meetings:
:rstats: The Effect: 5 "Identification" https://youtu.be/2XITeWLTZZQ #CausalAnalysis
:rstats: ggplot2: 5 "Statistical summaries" https://youtu.be/nwZ3YZTxbPo #DataViz #ggplot2
:python: Practical Deep Learning for Coders: 7 "Collaborative filtering" https://youtu.be/KE7Igp_IGH4 #DeepLearning #AI
Subscribe at https://DSLC.video for hours of #DataScience videos every week!
Participate in @DSLC book clubs at https://DSLC.io
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
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/
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/
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
Check out this compilation of free #causalinference resources by @MatteoCourthoud@twitter.com https://link.medium.com/REoRHqc5owb #causaltwitter #causalanalysis
🔥Join us for our 3rd #WinterSchool in #DataAnalytics and #MachineLearning, Feb 6-17 2023 at @ses_unifr@twitter.com @unifr@twitter.com (hybrid format)! Courses on #MachineLearning, #DeepLearning, and #CausalAnalysis using #Knime, #RStats, #Python. Register here until Jan 31: https://www.unifr.ch/appecon/en/winterschool/
Exciting news concerning my textbook "#CausalAnalysis: #ImpactEvaluation and #CausalMachineLearning with Applications in R (#RStats). I've just submitted the final corrections to the publisher @mitpress@twitter.com
😊The book will be available in summer 2023, including a free online version.
🔥 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 😀
RT @CausalHuber@twitter.com
Delighted to announce that @mitpress@twitter.com is going to publish my book "#CausalAnalysis: Impact evaluation and #CausalMachineLearning with applications in #RStats". 😃 #EconTwitter #EpiTwitter #CausalTwitter
Special thanks to @causalinf@twitter.com and @InstEconomist@twitter.com for their support and advice! https://twitter.com/CausalHuber/status/1463235219167662084
🐦🔗: https://twitter.com/CausalHuber/status/1513415481046323200
