26) Adam Optimizer from scratch Gradient descent made better Foundations for ML [Lecture 26]2просмотра2 месяца назад
25) RMSprop Gradient Descent from scratch Optimization in ML Foundations for ML [Lecture 25]12просмотров2 месяца назад
24) Momentum-based gradient descent from scratch optimization Foundations for ML [Lecture 24]8просмотров2 месяца назад
23) Stochastic Gradient Descent from scratch Intro to Optimization Foundations for ML [Lecture 23]6просмотров2 месяца назад
20) Partial Derivatives and Gradient Descent The Engine Driving ML ML foundations [Lecture 20]4просмотра2 месяца назад
19) Integral calculus for Machine Learning Mathematical foundations for ML [Lecture 19]1просмотр2 месяца назад
18) Chain rule for Machine Learning Calculus for ML Mathematical Foundations for ML [Lecture 18]3просмотра2 месяца назад
17) Introduction to Calculus for Machine Learning Foundations for ML [Lecture 17]5просмотров2 месяца назад
16) Foundations for ML Naive-Bayes classification, ML model evaluation confusion matrix [Lecture 16]1просмотр2 месяца назад
15) Foundations for Machine Learning Null & Alternate hypothesis in probability [Lecture 15]2просмотра2 месяца назад
13) Foundations for Machine Learning Bayes Theorem - Intuition and basics [Lecture 13]4просмотра2 месяца назад
12) Foundations for Machine Learning Conditional probability Probability & Statistics [Lecture 12]3просмотра2 месяца назад
11) Foundations for Machine Learning Probability and Statistics An introduction [Lecture 11]5просмотров2 месяца назад
10) Foundations for ML Simple intuition of eigenvalues and eigenvectors Linear Algebra [Lecture 10]5просмотров2 месяца назад
9) Foundations for ML Linear Algebra Relation between dot product and transformation [Lecture 9]3просмотра2 месяца назад
8) Foundations for Machine Learning Matrix Inverse - Physical Meaning in Transformations [Lecture 8]7просмотров2 месяца назад
7) Foundations for ML Linear Algebra Transformation with non-square matrices 2D to 3D [Lecture 7]4просмотра2 месяца назад
