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Watch this series start-to-finish if you're missing any fundamental differential geometry. Lecture 1: Introduction & Logic of propositions and predicates (Frederic Schuller, reproduced from YouTube) https://t.co/mfjUOTgOnn

Geogristle x.com

Statistical Rethinking 2023

youtube.com

New Video Series: Statistics & Data Analysis! https://t.co/YfJTxDeiHn 35 videos, 10 hours: Random sampling, Central limit theorem, Distribution estimation, Method of moments, Maximum likelihood estimation, Hypothesis testing, Monte Carlo sampling, Bayesian statistics, and more! https://t.co/LX6h5HkD1I

Steven Brunton x.com

A Man for All Markets: Beating the Odds, from Las Vegas to Wall Street

Edward O. Thorp

amazon.com

Cover of A Man for All Markets: Beating the Odds, from Las Vegas to Wall Street

Jim Simons told us everything needed to be an algo trader (MIT lecture) https://t.co/BDGX1Iw6nY

Moon Dev x.com

new VC funds at / below $200M in size by Shai Goldman @shaig - Google Drive

docs.google.com

More Than You Ever Wanted To Know About Volatility Swaps

Explores volatility and variance swaps, their properties, uses for trading and hedging volatility exposure, and methods for replication and valuation using options, while addressing practical challenges and implications of volatility skews.

emanuelderman.com

5/ Video Gen Engine Maths/Physics explained simply with human-centric explanation. Text to visual/video explanation. By Richa https://t.co/mkZCbFrv0j

Sasha Sheng (Hiring) 🫶🏼x.com

Deep Learning Optimizers from First Principles My attempt at answering these questions: 1. Why do steepest descent in non-Euclidean spaces? 2. Why does adaptive preconditioning work so well in practice? And, 3. Why normalize everything ala nGPT? https://t.co/lNyeI2hzj8

leloy!

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