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Scientia potentia est
:electron:
Scientia potentia est

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@CausalAIBook
CausalMLBook™ | Applied Causal Inference Powered by ML and AI CausalAIBook
Free textbook | An introduction to the emerging fusion of ML and causal inference | V. Chernozhukov, C. Hansen, N. Kallus, M. Spindler, V. Syrgkanis.
@Jiaming-Huang
Jiaming Huang Jiaming-Huang
I am an Assistant Professor of Economics at the Hong Kong University of Science and Technology.

Hong Kong University of Science and Technology Hong Kong SAR, China

@federiconuta
Federico Nutarelli federiconuta
Assistant Professor at IMT School Research fields: machine learning, social and health sciences. Data Science love

IMT School for Advanced Studies Lucca Lucca, Italy

@chenx2018
ChenXing chenx2018
I'm a data scientist @zetatech. Love Math and #rstats!

ZetaTech

@weijie-chen
Weijie Chen weijie-chen
Risk Quant | Software Engineer

Helsinki/Warsaw

@ds-modules
UC Berkeley Data Science Modules ds-modules
A Working Collection of Jupyter Notebook Modules at UC Berkeley led by the College of Computing, Data Science, and Society (including DSUS, D-Lab, and BIDS).

UC Berkeley

@Guzpenha
Gustavo Penha Guzpenha
Researcher - IR - RecSys - ML - NLP. https://linktr.ee/guzpenha

Spotify Delft

@rickecon
Richard Evans rickecon
Senior Economist, Abundance Institute. Director, Open Source Economics Laboratory. President, Open Research Group.

Abundance Institute

@tsinghua-fib-lab
FIB LAB, Tsinghua University tsinghua-fib-lab

Tsinghua University, Beijing, China

@py-econometrics
py-econometrics py-econometrics
Tools for Applied Econometrics in Python
@juanitorduz
Juan Orduz juanitorduz
Mathematician & Data Scientist

@pymc-labs Berlin

@edgeslab
EDGES Lab @ UIC edgeslab
Data science and relational learning lab

Chicago, IL

@sidravi1
Sid Ravinutala sidravi1

@IDinsight Cambridge, MA, USA

@alfredgalichon
Alfred Galichon alfredgalichon
Professor of economics and mathematics at NYU, Courant Institute. Author of Optimal Transport Methods in Economics (Princeton, 2016).
@ahmedmalaa
Ahmed M. Alaa ahmedmalaa

UC Berkeley and UCSF Berkeley, CA

@kexinhuang12345
Kexin Huang kexinhuang12345
PhD Student @ Stanford CS

Bay Area

@bcallaway11
Brantly Callaway bcallaway11
Brantly Callaway, Department of Economics, University of Georgia

University of Georgia Athens, GA

@Vincent-Codes-Finance
Vincent Codes Finance Vincent-Codes-Finance
Blog about coding for finance research

Canada

@natematias
J. Nathan Matias natematias

Cornell University Ithaca, NY

@krasserm
Martin Krasser krasserm
Freelance ML and AI engineer

Gradion AI Vienna, Austria

@franciscoyira
Francisco Yirá Albornoz franciscoyira
Python, R, data viz, causal inference, machine learning and AI.

Toronto, Canada

@apoorvalal
Apoorva Lal apoorvalal
Applied Econometrics, CausalML, Unix sundries

/dev/null

@grantmcdermott
Grant McDermott grantmcdermott
Principal Economist at Amazon. Mix of economics, data science, and open source.

Amazon Eugene, Oregon

@QuantEcon
QuantEcon QuantEcon
Open source code for quantitative economic modeling
@matteocourthoud
Matteo Courthoud matteocourthoud
Economics PhD Student

Zurich, Switzerland

@jeffgortmaker
Jeff Gortmaker jeffgortmaker

Princeton University Jersey City, NJ

@kylebutts
Kyle F Butts kylebutts
Assistant Professor of Economics University of Arkansas
@vios-s
VIOS vios-s
Code base for VIOS

United Kingdom

@dseconf
DSE conference and summer school dseconf
Annual conferences and summer schools in dynamic structural econometrics
@OpenSourceEconomics
Open Source Economics OpenSourceEconomics
A platform for transdisciplinary collaboration in the development, analysis, and application of computational economic models.

Bonn, Germany

@kochbj
Bernard J Koch kochbj
Computational sociologist of culture and science. Eccentric interests in DL, CI, networks & Bayesian modeling.

UChicago Chicago, IL

@holtzy
Holtz Yan holtzy
I ❤️ data visualization 🤷🏻‍♂️

Software Engineer - Dataviz Montpellier, France

@jcheong0428
Jin Hyun Cheong jcheong0428
Graduate student in Psychological and Brain Sciences at Dartmouth College.

Dartmouth College

@zijguo
zijguo
My research interests are high-dimensional statistics, causal inference and non-parametric statistics.

Rutgers University

@probml
Probabilistic machine learning probml
Material to accompany my book series "Probabilistic Machine Learning" (Software, Data, Exercises, Figures, etc)
@usaito
yuta-saito usaito
CS Ph.D. Student, Cornell University

Cornell University Ithaca, NY, USA

@Humboldt-WI
Humboldt-WI Humboldt-WI
Chair of Information Systems of Humboldt-University of Berlin

Germany