About 28 results for "UCm5mt-A4w61lknZ9lCsZtBw"
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PT15M26S
Two Examples of Expected Values & Functions: Temperature in C vs F, and the Kinetic Theory of Gases
Steve BruntonJun 19, 2025![AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]](https://imgz.pc97.com/?width=500&fit=cover&image=https://i.ytimg.com/vi/ARMk955pGbg/hqdefault.jpg)
PT43M27S
AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]
Steve BruntonDec 25, 2024![AI/ML+Physics Part 2: Curating Training Data [Physics Informed Machine Learning]](https://imgz.pc97.com/?width=500&fit=cover&image=https://i.ytimg.com/vi/g-S0m2zcKUg/hqdefault.jpg)
PT36M11S
AI/ML+Physics Part 2: Curating Training Data [Physics Informed Machine Learning]
Steve BruntonMar 1, 2024
PT47M27S
Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering
Steve BruntonFeb 16, 2024
PT38M28S
Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization
Steve BruntonFeb 11, 2022
PT45M53S
Lagrangian Coherent Structures (LCS) in unsteady fluids with Finite Time Lyapunov Exponents (FTLE)
Steve BruntonNov 5, 2021
PT24M6S












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![Denoising Data with FFT [Python]](https://imgz.pc97.com/?width=500&fit=cover&image=https://i.ytimg.com/vi/s2K1JfNR7Sc/hqdefault.jpg)


![Principal Component Analysis (PCA) 1 [Python]](https://imgz.pc97.com/?width=500&fit=cover&image=https://i.ytimg.com/vi/Oi4SJqJIL2E/hqdefault.jpg)




