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Learning without distractions
  1. 1 47:27 Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering Steve Brunton · 371.8K views
  2. 2 43:27 AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning] Steve Brunton · 136.5K views
  3. 3 36:11 AI/ML+Physics Part 2: Curating Training Data [Physics Informed Machine Learning] Steve Brunton · 57.3K views
  4. 4 36:30 AI/ML+Physics Part 3: Designing an Architecture [Physics Informed Machine Learning] Steve Brunton · 65.7K views
  5. 5 23:12 AI/ML+Physics Part 4: Crafting a Loss Function [Physics Informed Machine Learning] Steve Brunton · 50.1K views
  6. 6 32:35 AI/ML+Physics Part 5: Employing an Optimization Algorithm [Physics Informed Machine Learning] Steve Brunton · 32.8K views
  7. 7 24:01 AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning] Steve Brunton · 28.7K views
  8. 8 19:01 AI/ML+Physics: Preview of Upcoming Modules and Bootcamps [Physics Informed Machine Learning] Steve Brunton · 26.7K views
  9. 9 26:56 Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning Steve Brunton · 154.9K views
  10. 10 24:06 Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later! Steve Brunton · 100.7K views
  11. 11 17:32 Sparse Nonlinear Dynamics Models with SINDy, Part 2: Training Data & Disambiguating Models Steve Brunton · 41.2K views
  12. 12 19:40 Sparse Nonlinear Dynamics Models with SINDy, Part 3: Effective Coordinates for Parsimonious Models Steve Brunton · 31.8K views
  13. 13 27:17 Sparse Nonlinear Dynamics Models with SINDy, Part 4: The Library of Candidate Nonlinearities Steve Brunton · 26.6K views
  14. 14 18:28 Sparse Nonlinear Dynamics Models with SINDy, Part 5: The Optimization Algorithms Steve Brunton · 24K views
  15. 15 19:10 Discrepancy Modeling with Physics Informed Machine Learning Steve Brunton · 52.1K views
  16. 16 19:24 Hamiltonian Neural Networks (HNN) [Physics Informed Machine Learning] Steve Brunton · 35.2K views
  17. 17 19:49 Lagrangian Neural Network (LNN) [Physics Informed Machine Learning] Steve Brunton · 40.3K views
  18. 18 13:43 Neural Implicit Flow (NIF) [Physics Informed Machine Learning] Steve Brunton · 15.3K views
  19. 19 24:37 Neural ODEs (NODEs) [Physics Informed Machine Learning] Steve Brunton · 114.4K views
  20. 20 16:11 Python Symbolic Regression (PySR) [Physics Informed Machine Learning] Steve Brunton · 50.6K views
  21. 21 17:26 Residual Networks (ResNet) [Physics Informed Machine Learning] Steve Brunton · 90.8K views
  22. 22 17:46 Fourier Neural Operator (FNO) [Physics Informed Machine Learning] Steve Brunton · 60.8K views
  23. 23 17:17 Deep Operator Networks (DeepONet) [Physics Informed Machine Learning] Steve Brunton · 43K views
  24. 24 34:32 Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning] Steve Brunton · 209.1K views