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Stanford CS229: Machine Learning 3강 (2021) - YouTube
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Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
YouTube · Stanford Online · 3.1M views · Apr 17, 2020
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Stanford CS229: Machine Learning | Summer 2019 | Lecture 5 - Perceptron and Logistic Regression
YouTube · Stanford Online · 33.6K views · Apr 13, 2021

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Lecture 14 - Expectation-Maximization Algorithms | Stanford CS229: Machine Learning (Autumn 2018)
YouTube · Stanford Online · 156.7K views · Apr 17, 2020
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Lecture 4 - Perceptron & Generalized Linear Model | Stanford CS229: Machine Learning (Autumn 2018)
YouTube · Stanford Online · 305.3K views · Apr 17, 2020
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Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
YouTube · Stanford Online · 182.5K views · Apr 17, 2020

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 20 - Variational Autoencoder
YouTube · Stanford Online · 17.6K views · Jul 6, 2022
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Lecture 12 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
YouTube · Stanford Online · 85.3K views · Apr 17, 2020
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Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
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Lecture 15 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018
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Stanford CS229 Machine Learning I Introduction I 2022 I Lecture 1
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Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)
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Stanford CS229: Machine Learning | Summer 2019 | Lecture 8 - Kernel Methods & Support Vector Machine
YouTube · Stanford Online · 24.9K views · Apr 13, 2021

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