Видео ютуба по тегу Cs229

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
Stanford CS229 I Machine Learning I Building Agents That Do the Work of Human Software Engineers
Stanford CS229 I Machine Learning I Building Agents That Do the Work of Human Software Engineers
Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)
Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)
Lecture 11 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
Lecture 11 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
Объяснение основ искусственного интеллекта! Полный курс по машинному обучению | Stanford (CS229) Ч.1
Объяснение основ искусственного интеллекта! Полный курс по машинному обучению | Stanford (CS229) Ч.1
Lecture 4 - Perceptron & Generalized Linear Model | Stanford CS229: Machine Learning (Autumn 2018)
Lecture 4 - Perceptron & Generalized Linear Model | Stanford CS229: Machine Learning (Autumn 2018)
Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
Stanford CS229 Machine Learning I Exponential family, Generalized Linear Models I 2022 I Lecture 4
Stanford CS229 Machine Learning I Exponential family, Generalized Linear Models I 2022 I Lecture 4