20) Partial Derivatives and Gradient Descent The Engine Driving ML ML foundations [Lecture 20]4просмотра3 месяца назад
19) Integral calculus for Machine Learning Mathematical foundations for ML [Lecture 19]1просмотр3 месяца назад
18) Chain rule for Machine Learning Calculus for ML Mathematical Foundations for ML [Lecture 18]3просмотра3 месяца назад
17) Introduction to Calculus for Machine Learning Foundations for ML [Lecture 17]5просмотров3 месяца назад
16) Foundations for ML Naive-Bayes classification, ML model evaluation confusion matrix [Lecture 16]1просмотр3 месяца назад
15) Foundations for Machine Learning Null & Alternate hypothesis in probability [Lecture 15]2просмотра3 месяца назад
13) Foundations for Machine Learning Bayes Theorem - Intuition and basics [Lecture 13]4просмотра3 месяца назад
12) Foundations for Machine Learning Conditional probability Probability & Statistics [Lecture 12]3просмотра3 месяца назад
11) Foundations for Machine Learning Probability and Statistics An introduction [Lecture 11]5просмотров3 месяца назад
10) Foundations for ML Simple intuition of eigenvalues and eigenvectors Linear Algebra [Lecture 10]5просмотров3 месяца назад
9) Foundations for ML Linear Algebra Relation between dot product and transformation [Lecture 9]3просмотра3 месяца назад
8) Foundations for Machine Learning Matrix Inverse - Physical Meaning in Transformations [Lecture 8]7просмотров3 месяца назад
7) Foundations for ML Linear Algebra Transformation with non-square matrices 2D to 3D [Lecture 7]4просмотра3 месяца назад
6) Foundations for Machine Learning A simple physical intuition for determinants [Lecture 6]12просмотров3 месяца назад
5) Foundations for ML Linear Algebra Product of 2 matrices = Composite Transformation [Lecture 5]7просмотров3 месяца назад
4) Foundations for Machine Learning Linear Algebra 3D linear transformation [Lecture 4]5просмотров3 месяца назад
3) Foundations for ML Linear Algebra Linear transformation as Matrix multiplication [Lecture 3]4просмотра3 месяца назад
