Look at what arrived this morning! 20 years ago, both my high-school & university libraries had (a previous version of) the book... I remember spending quite a bit of time on it, not grasping everything but having fun. I'll be posting some videos soon! #maths #books
08.12.2024 15:13 — 👍 1 🔁 0 💬 0 📌 0
YouTube video by MathokriK
Integral and symmetries
My very first video on integrals and symmetry! #Maths
youtu.be/uxdq__fce90?...
08.12.2024 14:47 — 👍 0 🔁 0 💬 0 📌 0
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Full Professor of Computational Statistics at TU Dortmund University
Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams
Website: https://paulbuerkner.com
Opinions are my own
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer.
Web page https://users.aalto.fi/~ave/
My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
Senior Research Fellow @ ucl.ac.uk/gatsby & sainsburywellcome.org
{learning, representations, structure} in 🧠💭🤖
my work 🤓: eringrant.github.io
not active: sigmoid.social/@eringrant @eringrant@sigmoid.social, twitter.com/ermgrant @ermgrant
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
#AI4Science #CompNeuro #NeuroAI #SBI
www.mackelab.org @mackelab.bsky.social
· Prof Uni Tuebingen ML4Science BCCN tue.ai
· Adjunct MPI IS · Fellow ellis.eu
· currently hiring postdocs and PhD students
· sometimes goes for a run
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.github.io/
Assistant Professor, University of Toronto.
Junior Research Fellow, Trinity College, Cambridge.
AI Fellow, Georgetown University.
Probabilistic Machine Learning, AI Safety & AI Governance.
Prev: Oxford, Yale, UC Berkeley, NYU.
https://timrudner.com
Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
Assistant Prof in ML @ KTH 🇸🇪.
Previous: Aalto University 🇫🇮, TU Graz 🇦🇹, originally from 🇩🇪.
Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits
https://trappmartin.github.io/
