Stanford CS229: Machine Learning | Summer 2019 | Lecture 1 - Introduction and Linear Algebra Published 2021-04-13 Download video MP4 360p Recommendations 1:52:54 Stanford CS229: Machine Learning | Summer 2019 | Lecture 2 - Matrix Calculus and Probability Theory 1:04:32 Seeds of Growth (1111hz) | 1 hour handpan music | Malte Marten 1:15:20 Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018) 1:00:25 What we see and what we value: AI with a human perspective: Fei-Fei Li (Stanford University) 58:12 MIT Introduction to Deep Learning | 6.S191 1:22:37 Disruption, Democracy and the Global Order – Yuval Noah Harari at the University of Cambridge 1:46:55 Lecture 1 | String Theory and M-Theory 12:50 I visited the world's hardest math class 1:20:25 Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) 57:33 MIT 6.S191: Reinforcement Learning 1:48:12 Geoffrey Hinton in conversation with Fei-Fei Li — Responsible AI development 1:48:37 Stanford CS229: Machine Learning | Summer 2019 | Lecture 16 - K-means, GMM, and EM 1:11:41 Lecture 1 | Natural Language Processing with Deep Learning 1:35:47 Cosmology Lecture 1 36:55 Andrew Ng: Opportunities in AI - 2023 1:15:08 Demystifying the Higgs Boson with Leonard Susskind 18:40 But what is a neural network? | Chapter 1, Deep learning Similar videos 1:56:51 Stanford CS229: Machine Learning | Summer 2019 | Lecture 10 - Deep learning - I 1:52:47 Stanford CS229: Machine Learning | Summer 2019 | Lecture 5 - Perceptron and Logistic Regression 1:51:12 Stanford CS229: Machine Learning | Summer 2019 | Lecture 9 - Bayesian Methods - Parametric & Non 1:47:25 Stanford CS229: Machine Learning | Summer 2019 | Lecture 14 - Reinforcement Learning - I 57:42 Lecture 1 Part 1: Introduction and Motivation 1:53:09 Stanford CS229: Machine Learning | Summer 2019 | Lecture 18 - Principal & Independent CA 1:55:09 Stanford CS229: Machine Learning | Summer 2019 | Lecture 8 - Kernel Methods & Support Vector Machine 1:53:44 Stanford CS229: Machine Learning | Summer 2019 | Lecture 7 - GDA, Naive Bayes & Laplace Smoothing 36:13 Linear Algebra Machine Learning|Linear Algebra For Machine Learning|Introduction To Vector|Part:1 10:26 Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 1 - Introduction More results