If she can do it, we can all do it.
22.01.2025 10:43 β π 93957 π 13332 π¬ 1679 π 835
A gentle reminder that someday all social media will end. And weβll return to our books. And hope theyβll still speak to us.
19.11.2024 21:29 β π 343 π 93 π¬ 6 π 4
I should've introduced myself on my first day in my first posting. I'm an industrial engineer turned software programmer turned environmental urban planner turned statistician with an interest in information geometry. Spent some time on AI and machine learning. I'm a forever-learning person.
28.11.2024 06:17 β π 5 π 1 π¬ 0 π 0
YouTube video by Richard McElreath
Statistical Rethinking 2023 - 17 - Measurement & Misclassification
youtu.be/mt9WKbQJrI4?...
A good reminder on floating point arithmetic:
"Probability calculations tend to underflow (round to zero) and overflow (round to one) -- Solution: Calculate on log scale"
28.11.2024 06:10 β π 0 π 0 π¬ 0 π 0
β¨The Stan team just dropped something cool: Stan Playground!
Edit and run Bayesian models right in your browser, complete with Python/R analysis tools. Perfect for learning or teaching stats without the setup headaches.
Check it out: stan-playground.flatironinstitute.org
#Statistics #DataScience
07.11.2024 21:26 β π 1 π 1 π¬ 0 π 0
We use the power of storytelling to inform the public about the realities and impacts of inequality and imbalance of power in America. Co-founded by @RBreich.bsky.social
Linktree: www.linktr.ee/inequalitymediacivicaction | Website: www.imcivicaction.org
We are a non-profit organization founded by
@RBReich.bsky.social to inform and engage the public about the realities and impacts of inequality. | linktr.ee/inequalitymedia
Berkeley professor, former Secretary of Labor. Co-founder of @inequalitymedia.bsky.social and @imcivicaction.bsky.social.
Substack: http://robertreich.substack.com
Buy my new book: https://sites.prh.com/reich
Visit my website: https://rbreich.com/
AI and cognitive science, Founder and CEO (Geometric Intelligence, acquired by Uber). 8 books including Guitar Zero, Rebooting AI and Taming Silicon Valley.
Newsletter (100k subscribers): garymarcus.substack.com
Publisher and Editor, America 2.0. Baltimore/Washington. Pilot, chef, coder. america2.news Signal: davetroy.69
A Compendium of Utopian Negation. Editor: Eric Jarosinski, Failed Intellectual (Emeritus)
New York, NY
Mathematician interested in data & biology. Max Planck Institute & TU Dresden. Oxford Maths Institute & St Johnβs College, Oxford. Previously Imperial College London & Umass Amherst.
Mathematician. Assoc prof in CMSE at MSU studying TDA. 55N31, 62R40. Mother of 2 dragons. Half of a 2-body opportunity. She/her.
Mathematician studying topology in biomedical data | Project leader of the Topological Learning in the Life Sciences group, Max Planck Institute of Biochemistry | Previously at EPFL & Oxford Maths | 2022 LβOrΓ©al-Unesco #ForWomenInScience Fellow
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, π πΆ
We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.
Professor of Mathematics at Oxford and Fellow of Pembroke College:
people.maths.ox.ac.uk/nanda
I'm a PhD student in (topological) persistence theory and topological machine learning at Universitat de Barcelona.
Gradient surfer at UCL. FR, EN, also trying ES. πΉπΌπ¨π¦π¬π³πΊπΈπ©π΄π«π·πͺπΈπ¬π§πΏπ¦. Also on Twitter.
ML PhD student at University of Oxford. Interested in Geometric Deep Learning
Postdoctoral Fellow at Technion β Geometric Deep Learning in some of its various forms β PhD at Imperial College London β Previously Twitter, Fabula AI and Politecnico di Milanoγ εΏ γπ
Applied and computational topologist, lecturer in maths at the University of Queensland (she/her)
https://sites.google.com/view/agnesebarbensi/home
Proving, coding, hacking.
Associate Professor of Math and Statistics at UAlbany
Deep Learning + Topology + Human Movement
Physics PhD candidate
Now at Geometric Intelligence Lab, UC Santa Barbara and Los Angeles Dodgers
Prev McGill Physics
mathildep.ca
