5.5 Decision Theory (UvA - Machine Learning 1 - 2020)
25:19
5.5 Decision Theory (UvA - Machine Learning 1 - 2020)
3.9K viewsNov 24, 2020
YouTubeErik Bekkers
1.5 Probability Theory: Example (UvA - Machine Learning 1 - 2020)
13:22
1.5 Probability Theory: Example (UvA - Machine Learning 1 - 2020)
5.2K viewsNov 5, 2020
YouTubeErik Bekkers
1.4 Probability Theory Bayes (UvA - Machine Learning 1 - 2020)
34:42
1.4 Probability Theory Bayes (UvA - Machine Learning 1 - 2020)
9K viewsNov 5, 2020
YouTubeErik Bekkers
1.3 Types Of Machine Learning (UvA - Machine Learning 1 - 2020)
17:42
1.3 Types Of Machine Learning (UvA - Machine Learning 1 - 2020)
6K viewsNov 5, 2020
YouTubeErik Bekkers
10.4 Non-Linear Principal Component Analysis (UvA - Machine Learning 1 - 2020)
21:49
10.4 Non-Linear Principal Component Analysis (UvA - Machi…
4.1K viewsNov 27, 2020
YouTubeErik Bekkers
8.2 Neural Networks: Universal Approximation Theorem (UvA - Machine Learning 1 - 2020)
22:44
8.2 Neural Networks: Universal Approximation Theorem (UvA - Ma…
3.3K viewsNov 24, 2020
YouTubeErik Bekkers
1.2 What Is Machine Learning (UvA - Machine Learning 1 - 2020)
26:18
1.2 What Is Machine Learning (UvA - Machine Learning 1 - 2020)
28K viewsNov 5, 2020
YouTubeErik Bekkers
10:20
7.1 Classification With Basis Functions (UvA - Machine Learnin…
2.7K viewsNov 24, 2020
YouTubeErik Bekkers
28:48
7.2 Probabilistic Discriminative Models: Logistic Regression (Uv…
3.7K viewsNov 24, 2020
YouTubeErik Bekkers
34:39
10.1 Principal Component Analysis: Maximum Variance (UvA - Machin…
8.7K viewsNov 27, 2020
YouTubeErik Bekkers
12:47
9.1 Unsupervised Learning: Latent Variable Models (UvA - Machine L…
5.7K viewsNov 27, 2020
YouTubeErik Bekkers
7:34
2.4 Maximum Likelihood: Example (UvA - Machine Learning 1 - 2020)
5.4K viewsNov 5, 2020
YouTubeErik Bekkers
25:11
6.1 Probabilistic Generative Modeling: Maximum Likelihood (U…
4.8K viewsNov 24, 2020
YouTubeErik Bekkers
21:01
11.1 Kernelizing Linear Models (UvA - Machine Learning 1 - 2020)
3.4K viewsNov 27, 2020
YouTubeErik Bekkers
18:10
4.4 Sequential Bayesian Learning (UvA - Machine Learning 1 - 2020)
4.1K viewsNov 5, 2020
YouTubeErik Bekkers
35:39
8.1 Neural Networks (UvA - Machine Learning 1 - 2020)
3.2K viewsNov 24, 2020
YouTubeErik Bekkers
15:22
6.5 Discriminant Functions: The Perceptron (UvA - Machine Learni…
2.6K viewsNov 24, 2020
YouTubeErik Bekkers
39:51
9.4 Gaussian Mixture Models And Expectation Maximization (UvA - …
7.9K viewsNov 27, 2020
YouTubeErik Bekkers
16:07
11.3 Support Vector Machines: Maximum Margin Classifiers (UvA …
3.1K viewsNov 27, 2020
YouTubeErik Bekkers
10:40
6.2 Probabilistic Generative Modeling: Discrete Data (UvA - Ma…
2.8K viewsNov 24, 2020
YouTubeErik Bekkers
31:56
7.4 Logistic Regression: Newton Raphson (UvA - Machine Learnin…
3.9K viewsNov 24, 2020
YouTubeErik Bekkers
1:15:57
Probabilistic ML - 01 - Probabilities
31.4K views10 months ago
YouTubeTübingen Machine Learning
10:48:43
Linear Algebra for Machine Learning
254.5K viewsFeb 27, 2025
YouTubefreeCodeCamp.org
4:19:33
Machine Learning in 2024 – Beginner's Course
416.7K viewsFeb 29, 2024
YouTubefreeCodeCamp.org
3:39
Machine Learning Conceptual Interviews (In 4 Minutes)
13.3K viewsOct 28, 2024
YouTubeExponent
10:45:03
ML Engineer Full Course 2026 | Full Course for Beginners | Theory + H…
11.3K views2 months ago
YouTubeedureka!
23:42
5.6 Probabilistic Generative Models (UvA - Machine Learning 1 - 2020)
7.6K viewsNov 24, 2020
YouTubeErik Bekkers
4:13
Nested Learning: The Illusion of Deep Learning Architectures - Pap…
10.4K views4 months ago
YouTubeDataMListic
14:19
12.5 Gaussian Processes: Regression (UvA - Machine Learni…
7.1K viewsNov 27, 2020
YouTubeErik Bekkers
33:55
4.2 Bias Variance Decomposition (UvA - Machine Learning 1 - 2020)
5K viewsNov 5, 2020
YouTubeErik Bekkers
See more videos
Static thumbnail place holder