Datamlistic

Multivariate Normal (Gaussian) Distribution Explained 07:08
Multivariate Normal (Gaussian) Distribution Explained DataMListic 39,561 2 года назад
Gradient Boosting with Regression Trees Explained 04:09
Gradient Boosting with Regression Trees Explained DataMListic 11,169 1 год назад
Least Squares vs Maximum Likelihood 04:49
Least Squares vs Maximum Likelihood DataMListic 18,204 4 месяца назад
Basic Probability Distributions Explained: Bernoulli, Binomial, Categorical, Multinomial 08:01
Basic Probability Distributions Explained: Bernoulli, Binomial, Categorical, Multinomial DataMListic 548 54 года назад
Transformer Self-Attention Mechanism Explained | Attention Is All You Need 09:29
Transformer Self-Attention Mechanism Explained | Attention Is All You Need DataMListic 2,102 2 года назад
T-Test Explained 09:12
T-Test Explained DataMListic 2,092 1 месяц назад
AI Reading List (by Ilya Sutskever) - Part 1 04:31
AI Reading List (by Ilya Sutskever) - Part 1 DataMListic 17,041 5 месяцев назад
L1 vs L2 Regularization 04:04
L1 vs L2 Regularization DataMListic 268 16 часов назад
Singular Value Decomposition (SVD) Explained 05:40
Singular Value Decomposition (SVD) Explained DataMListic 3,246 6 месяцев назад
Fourier Transform Formula Explained 10:15
Fourier Transform Formula Explained DataMListic 8,106 1 год назад
Why We Perform Feature Scaling In Machine Learning 05:32
Why We Perform Feature Scaling In Machine Learning DataMListic 2,230 1 год назад
Covariance and Correlation Explained 04:36
Covariance and Correlation Explained DataMListic 6,444 10 месяцев назад
Marginal, Joint and Conditional Probabilities Explained 05:40
Marginal, Joint and Conditional Probabilities Explained DataMListic 4,524 3 месяца назад
AI Reading List (by Ilya Sutskever) - Part 4 04:27
AI Reading List (by Ilya Sutskever) - Part 4 DataMListic 1,161 5 месяцев назад
Poisson Distribution - Explained 05:36
Poisson Distribution - Explained DataMListic 519 3 дня назад
Covariance Matrix - Explained 03:33
Covariance Matrix - Explained DataMListic 4,303 2 месяца назад
Eigendecomposition Explained 07:35
Eigendecomposition Explained DataMListic 7,600 10 месяцев назад
BLEU Score Explained 05:48
BLEU Score Explained DataMListic 2,351 7 месяцев назад
Why Neural Networks Can Learn Any Function | The Universal Approximation Theorem 04:29
Why Neural Networks Can Learn Any Function | The Universal Approximation Theorem DataMListic 10,567 2 года назад
Object Detection Part 5: You Only Look Once (YOLO), YOLOv1 Architecture 04:43
Object Detection Part 5: You Only Look Once (YOLO), YOLOv1 Architecture DataMListic 5,997 1 год назад

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