11) Foundations for Machine Learning Probability and Statistics An introduction [Lecture 11]5просмотровмесяц назад
10) Foundations for ML Simple intuition of eigenvalues and eigenvectors Linear Algebra [Lecture 10]5просмотровмесяц назад
9) Foundations for ML Linear Algebra Relation between dot product and transformation [Lecture 9]3просмотрамесяц назад
8) Foundations for Machine Learning Matrix Inverse - Physical Meaning in Transformations [Lecture 8]7просмотровмесяц назад
7) Foundations for ML Linear Algebra Transformation with non-square matrices 2D to 3D [Lecture 7]4просмотрамесяц назад
6) Foundations for Machine Learning A simple physical intuition for determinants [Lecture 6]12просмотровмесяц назад
5) Foundations for ML Linear Algebra Product of 2 matrices = Composite Transformation [Lecture 5]7просмотровмесяц назад
4) Foundations for Machine Learning Linear Algebra 3D linear transformation [Lecture 4]5просмотровмесяц назад
3) Foundations for ML Linear Algebra Linear transformation as Matrix multiplication [Lecture 3]4просмотрамесяц назад
2) Foundations for Machine Learning Linear Algebra Vector, Transformation, Span, Basis [Lecture 2]6просмотровмесяц назад
1) Foundations for Machine Learning Linear Algebra, Probability, Calculus, Optimization [Lecture 1]6просмотровмесяц назад
Code, Write & Publish AI Research Paper - Full Course - LLM From Scratch - Muon vs Adam Optimizer8просмотровмесяц назад
