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Aulas do Curso
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Stanford CS229: Machine Learning | Summer 2019 | Lecture 1 - Introduction and Linear Algebra
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Stanford CS229: Machine Learning | Summer 2019 | Lecture 2 - Matrix Calculus and Probability Theory
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2
Stanford CS229: Machine Learning | Summer 2019 | Lecture 3 - Probability and Statistics
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3
Stanford CS229: Machine Learning | Summer 2019 | Lecture 4 - Linear Regression
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4
Stanford CS229: Machine Learning | Summer 2019 | Lecture 5 - Perceptron and Logistic Regression
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5
Stanford CS229: Machine Learning | Summer 2019 | Lecture 6 - Exponential Family & GLM
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6
Stanford CS229: Machine Learning | Summer 2019 | Lecture 7 - GDA, Naive Bayes & Laplace Smoothing
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7
Stanford CS229: Machine Learning | Summer 2019 | Lecture 8 - Kernel Methods & Support Vector Machine
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8
Stanford CS229: Machine Learning | Summer 2019 | Lecture 9 - Bayesian Methods - Parametric & Non
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9
Stanford CS229: Machine Learning | Summer 2019 | Lecture 10 - Deep learning - I
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10
Stanford CS229: Machine Learning | Summer 2019 | Lecture 11 - Deep Learning - II
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11
Stanford CS229: Machine Learning | Summer 2019 | Lecture 12 - Bias and Variance & Regularization
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Stanford CS229: Machine Learning | Summer 2019 | Lecture 13-Statistical Learning Uniform Convergence
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Stanford CS229: Machine Learning | Summer 2019 | Lecture 14 - Reinforcement Learning - I
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Stanford CS229: Machine Learning | Summer 2019 | Lecture 15 - Reinforcement Learning - II
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15
Stanford CS229: Machine Learning | Summer 2019 | Lecture 16 - K-means, GMM, and EM
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16
Stanford CS229: Machine Learning | Summer 2019 | Lecture 17 - Factor Analysis & ELBO
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17
Stanford CS229: Machine Learning | Summer 2019 | Lecture 18 - Principal & Independent CA
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18
Stanford CS229: Machine Learning | Summer 2019 | Lecture 19 - Maximum Entropy and Calibration
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19
Stanford CS229: Machine Learning | Summer 2019 | Lecture 20 - Variational Autoencoder
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20
Stanford CS229: Machine Learning | Summer 2019 | Lecture 21 - Evaluation Metrics
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21
Stanford CS229: Machine Learning | Summer 2019 | Lecture 22 - Practical Tips and Course Recap
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22
Stanford CS229: Machine Learning | Summer 2019 | Lecture 23 - Course Recap and Wrap Up
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