Datamlistic

5:32

Why we perform feature normalization in ML
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4:04

L1 vs L2 Regularization
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9:12

T-Test Explained
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9.3K views
4:09

Gradient Boosting with Regression Trees Explained
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18K views
9:33

Gaussian Processes
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7.4K views
4:36

Covariance and Correlation Explained
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14K views
7:08

Multivariate Normal (Gaussian) Distribution Explained
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55K views
9:03

The Kernel Trick
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9.2K views
8:07

The Curse of Dimensionality
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6.3K views
3:33

Covariance Matrix - Explained
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12K views
4:24

Confidence Intervals Explained
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2.9K views
1:00

Why we build deep neural networks #machinelearning #deeplearning #neuralnetworks #datascience
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883 views
5:40

Singular Value Decomposition (SVD) Explained
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7.4K views
0:38

KL Divergence (w/ caps) #datascience #machinelearning #dataanlysis #statistics
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6.2K views
1:00

Covariance vs correlation #machinelearning #statistics #datascience #deeplearning #maths
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27K views
4:22

The RBF Kernel
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2.5K views
1:01

Curse of Dimensionality - Explained #machinelearning #datascience #statistics #dataanlysis #maths
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5K views
0:12

Neural Nets Can Learn Any Function? #neuralnetworks #machinelearning #datascience #deeplearning
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911 views
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