Methods like Sparse Regression promise to automate the process of deriving equations in the future. In this video, we first study a simple theoretical example of Sparse Regression. And at the end of the video, we briefly explore a more practical example and discuss the limitations of Sparse Regression.
Corrigendum:
- 8:05 There is an incorrect index. All g_j(x_j) should be g_j(x_i).
Link to code: https://github.com/DrSimulate/sparse-regression
Link to our research: https://www.nature.com/articles/s41524-022-00752-4
Big thanks to aetsx for creating the robot in the thumbnail. Check out his amazing AI-art on Instagram: https://www.instagram.com/aetsx/
Keywords:
symbolic regression, sparse regression, lasso, least absolute shrinkage and selection operator, automated discovery, model discovery, data-driven discovery, computer science, data science, artificial intelligence, machine learning
Music:
Distant Stars - VGM Mark H (https://soundcloud.com/user-656562764/distant-stars)
Swans In Flight - Asher Fulero