Видео ютуба по тегу Лекції Стенфорд

Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 10.2 - Knowledge Graph Completion
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 10.2 - Knowledge Graph Completion
Lecture 12 | Convex Optimization I (Stanford)
Lecture 12 | Convex Optimization I (Stanford)
Stanford University Admissions Interview Tricks | Algebra | Simon Favorite Factoring Tricks |
Stanford University Admissions Interview Tricks | Algebra | Simon Favorite Factoring Tricks |
Stanford Scientists Create All-Carbon Solar Cell
Stanford Scientists Create All-Carbon Solar Cell
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 6.3 - Deep Learning for Graphs
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 6.3 - Deep Learning for Graphs
Lecture 19 - Reward Model & Linear Dynamical System | Stanford CS229: Machine Learning (Autumn 2018)
Lecture 19 - Reward Model & Linear Dynamical System | Stanford CS229: Machine Learning (Autumn 2018)
Stanford CS105: Introduction to Computers | 2021 | Lecture 00 Introduction
Stanford CS105: Introduction to Computers | 2021 | Lecture 00 Introduction
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
Stanford researchers decode an ancient, extraordinary animal
Stanford researchers decode an ancient, extraordinary animal
Stanford CS230: Deep Learning | Autumn 2018 | Lecture 9 - Deep Reinforcement Learning
Stanford CS230: Deep Learning | Autumn 2018 | Lecture 9 - Deep Reinforcement Learning
Lecture 11 | Programming Abstractions (Stanford)
Lecture 11 | Programming Abstractions (Stanford)
Stanford CS224W: ML with Graphs | 2021 | Lecture 5.2 - Relational and Iterative Classification
Stanford CS224W: ML with Graphs | 2021 | Lecture 5.2 - Relational and Iterative Classification
Stanford Seminar - Information Theory of Deep Learning, Naftali Tishby
Stanford Seminar - Information Theory of Deep Learning, Naftali Tishby
Lecture 9 | Modern Physics: Classical Mechanics (Stanford)
Lecture 9 | Modern Physics: Classical Mechanics (Stanford)
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.3 - Choice of Graph Representation​
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.3 - Choice of Graph Representation​
Stanford Seminar - Emerging risks and opportunities from large language models, Tatsu Hashimoto
Stanford Seminar - Emerging risks and opportunities from large language models, Tatsu Hashimoto
Stanford CS224W: ML with Graphs | 2021 | Lecture 4.4 - Matrix Factorization and Node Embeddings
Stanford CS224W: ML with Graphs | 2021 | Lecture 4.4 - Matrix Factorization and Node Embeddings
An Associate Dean of Stanford Was A Bottom Student | Paul Kim
An Associate Dean of Stanford Was A Bottom Student | Paul Kim
Stanford CS224W: ML with Graphs | 2021 | Lecture 2.2 - Traditional Feature-based Methods: Link
Stanford CS224W: ML with Graphs | 2021 | Lecture 2.2 - Traditional Feature-based Methods: Link
Stanford Year in Review 2013
Stanford Year in Review 2013