31) Introduction to Python Classes & Objects in the context of ML [Lecture 31]3просмотра2 месяца назад
29) Matrix multiplication from scratch in Python No NumPy, no libraries Coding for ML [Lecture 29]5просмотров2 месяца назад
27) Regularization in ML explained simply Lasso (L1) and Ridge (L2) Foundations for ML [Lecture 27]7просмотров3 месяца назад
26) Adam Optimizer from scratch Gradient descent made better Foundations for ML [Lecture 26]2просмотра3 месяца назад
25) RMSprop Gradient Descent from scratch Optimization in ML Foundations for ML [Lecture 25]12просмотров3 месяца назад
24) Momentum-based gradient descent from scratch optimization Foundations for ML [Lecture 24]8просмотров3 месяца назад
23) Stochastic Gradient Descent from scratch Intro to Optimization Foundations for ML [Lecture 23]6просмотров3 месяца назад
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
