Lecture 6: Linear Regression and Gradient Descent Optimization – Machine Learning for Engineers

Similar Tracks
Lecture 7: Underfitting, Overfitting, and k-fold Cross-Validation – Machine Learning for Engineers
Mathieu Bauchy
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
Stanford Online
Musk demoted, Zuckerberg loses billions: Collapse for MAGA-tech alliance (Ari x Facebook co-founder)
MSNBC
Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering
Steve Brunton