34) Intro to data visualization libraries for ML in Python - Matplotlib, Seaborn, Plotly3просмотра8 часов назад
33) Pandas in Python for ML and Data Science A comprehensive introduction for beginners [Lecture 33]2просмотра10 часов назад
32) Introduction to NumPy in Python Programming foundations for Machine Learning [Lecture 32]6просмотров15 часов назад
29) Matrix multiplication from scratch in Python No NumPy, no libraries Coding for ML [Lecture 29]5просмотров3 дня назад
27) Regularization in ML explained simply Lasso (L1) and Ridge (L2) Foundations for ML [Lecture 27]6просмотров3 дня назад
26) Adam Optimizer from scratch Gradient descent made better Foundations for ML [Lecture 26]2просмотра4 дня назад
25) RMSprop Gradient Descent from scratch Optimization in ML Foundations for ML [Lecture 25]10просмотров4 дня назад
24) Momentum-based gradient descent from scratch optimization Foundations for ML [Lecture 24]7просмотров4 дня назад
23) Stochastic Gradient Descent from scratch Intro to Optimization Foundations for ML [Lecture 23]5просмотров4 дня назад
20) Partial Derivatives and Gradient Descent The Engine Driving ML ML foundations [Lecture 20]3просмотра6 дней назад
19) Integral calculus for Machine Learning Mathematical foundations for ML [Lecture 19]1просмотр6 дней назад
18) Chain rule for Machine Learning Calculus for ML Mathematical Foundations for ML [Lecture 18]3просмотра6 дней назад
17) Introduction to Calculus for Machine Learning Foundations for ML [Lecture 17]4просмотра6 дней назад
