CS-433 Machine learning

CS-433 Machine learning

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Machine learning and other data analysis tools are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning and artificial intelligence will be introduced, analyzed and practically implemented.

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machine learning

01:29:38

CS-433 Machine learning | Week 10 Part 2

CS-433 Machine learning | Week 10 Part 2

From Nicolas Flammarion

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Unsupervised Learning, K-Means and GMM
01:28:59

CS-433 Machine learning | Week 10 Part 1

CS-433 Machine learning | Week 10 Part 1

From Nicolas Flammarion

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Ethics and Fairness in ML
01:31:56

CS-433 Machine learning | Week 9 Part 2

CS-433 Machine learning | Week 9 Part 2

From Nicolas Flammarion

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Adversarial Machine Learning
01:29:52

CS-433 Machine learning | Week 9 Part 1

CS-433 Machine learning | Week 9 Part 1

From Nicolas Flammarion

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Transformers
01:27:52

CS-433 Machine learning | Week 8 Part 2

CS-433 Machine learning | Week 8 Part 2

From Nicolas Flammarion

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Neural Networks: Convolutional Nets, Regularization, Data augmentation, Dropout
01:29:12

CS-433 Machine learning | Week 8 Part 1

CS-433 Machine learning | Week 8 Part 1

From Nicolas Flammarion

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Neural Networks, Training, SGD and Backpropagation
01:30:03

CS-433 Machine learning | Week 7 Part 2

CS-433 Machine learning | Week 7 Part 2

From Nicolas Flammarion

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Neural Networks: Basic Structure, Representation Power
01:30:38

CS-433 Machine learning | Week 7 Part 1

CS-433 Machine learning | Week 7 Part 1

From Nicolas Flammarion

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Kernel Ridge Regression and the Kernel trick
01:30:35

CS-433 Machine learning | Week 6 Part 2

CS-433 Machine learning | Week 6 Part 2

From Nicolas Flammarion

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Nearest Neighbor Classifiers and the Curse of Dimensionality
01:26:35

CS-433 Machine learning | Week 6 Part 1

CS-433 Machine learning | Week 6 Part 1

From Nicolas Flammarion

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SVM
01:29:22

CS-433 Machine learning | Week 5 Part 2

CS-433 Machine learning | Week 5 Part 2

From Nicolas Flammarion

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Logistic Regression
01:30:04

CS-433 Machine learning | Week 5 Part 1

CS-433 Machine learning | Week 5 Part 1

From Nicolas Flammarion

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Classification
01:27:00

CS-433 Machine learning | Week 4 Part 2

CS-433 Machine learning | Week 4 Part 2

From Martin Jaggi

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Bias-Variance Decomposition
01:19:59

CS-433 Machine learning | Week 4 Part 1

CS-433 Machine learning | Week 4 Part 1

From Martin Jaggi

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Generalization, Model Selection, and Validation
01:24:13

CS-433 Machine learning | Week 3 Part 2

CS-433 Machine learning | Week 3 Part 2

From Martin Jaggi

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Maximum Likelihood, Ridge Regression, Lasso

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Managers:: Nicolas Flammarion
Lara Orlandic
Martin Jaggi
Corentin Dumery
Appears In:: EPFL courses Computer Science…