Chapter 19.3 - Policy Optimization
The following are video lectures associated with the textbook "Data-Driven Modeling and Scientific Computation" by J. Nathan Kutz (Oxford 2025, 2nd Ed). WEBPAGE: faculty.washington.edu/kutz CODE & DATA: github.com/nathankutz/ScientificComputing
▶︎
Chapter 19.2 - Markov Decision Process for RL
▶︎
Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
▶︎
Eigenvalue Decomposition Step-by-Step: The Matrix Trick Behind PCA
▶︎
Chapter 19.1 - Reinforcement Learning
▶︎
Chapter 21.3 - Assimilation for Lorenz
▶︎
Zig 2026: No-AI Policy, $670K Foundation, Left GitHub & Why Zig Isn’t 1.0 - Andrew Kelley Explains
▶︎
What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs - Eric Jang
▶︎
Chapter 15.7 - Dynamic Mode Decomposition DMD
▶︎
Chapter 22.1 - Transformers & Foundation Models: Vector Spaces for Word Embeddings
▶︎
1986: How to Spot the Upper Class | That's Life! | BBC Archive
▶︎
God Says:"MY CHILD, I NEED TO SEE YOU URGENTLY!"/God Message Now/God Message
▶︎
Chapter 15.6 - Robust PCA
▶︎
Violence Expert: Real Self-Defense Is TERRIFYING
▶︎
Prof. Dr. Christian Bauckhage (Fraunhofer IAIS): KI - Wir haben noch gar nichts gesehen!
▶︎
Nobody Breaks Celebrities Like Mr.Bean!
▶︎
Terence Tao: Nobody Understands Why AI Actually Works
▶︎
See How a 453kg Giant Bluefin Tuna Is Flawlessly Carved in Seconds
▶︎
Chapter 21.2 - Data Assimilation, Sampling & Kalman Filtering
▶︎
People Who Messed With The Royal Guard and Regretted It!
▶︎