Workshop 2: An Introduction to Symbolic Regression with PySR and SymbolicRegression.jl

Workshop 2: An Introduction to Symbolic Regression with PySR and SymbolicRegression.jl
Share:

Download MP3


Similar Tracks

Tutorial 1a: Basics of Neurosymbolic Architectures Neurosymbolic Programming for Science
Python Symbolic Regression (PySR) [Physics Informed Machine Learning] Steve Brunton
Interpretability via Symbolic Distillation Simons Institute
Workshop 1: Data-Efficient Graph Grammar Learning for Molecular Generation Neurosymbolic Programming for Science
MIT Introduction to Deep Learning | 6.S191 Alexander Amini
Python: Symbolic Regression Predictive Modeler
The Most Important Algorithm in Machine Learning Artem Kirsanov
MIT Introduction to Deep Learning (2023) | 6.S191 Alexander Amini
Data Analytics for Beginners | Data Analytics Training | Data Analytics Course | Intellipaat Intellipaat
Probabilistic Programming Tutorial Part 1 Neurosymbolic Programming for Science
Interpretable Machine Learning with SymbolicRegression.jl | Miles Cranmer | JuliaCon 2023 The Julia Programming Language
Watching Neural Networks Learn Emergent Garden
ML Was Hard Until I Learned These 5 Secrets! Boris Meinardus
Symbolic Regression and Program Induction: Lars Buesing Sydney Mathematical Research Institute - SMRI
How I’d learn ML in 2024 (if I could start over) Boris Meinardus
Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024) Simons Foundation
Interpretable Deep Learning for New Physics Discovery Steve Brunton
Deep Symbolic Regression: Recovering Math Expressions from Data via Risk-Seeking Policy Gradients Inside Livermore Lab
Building Collision Simulations: An Introduction to Computer Graphics Reducible
Workshop 4: Generating code that activates our brains Neurosymbolic Programming for Science