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0:28:25
Human Stories in AI: Amy Finnegan
0:32:33
Human Stories in AI: Xavier Moyá
0:36:55
Human Stories in AI: Tommy Tang
0:37:27
Human Stories in AI: Simon Stochholm
0:35:49
Human Stories in AI: Brian Risk@devra.ai
0:23:43
The matrix math behind transformer neural networks, one step at a time!!!
0:35:31
Human Stories in AI: Fabio Urbina
0:27:13
Human Stories in AI: Khushi Jain
0:31:13
Human Stories in AI: Rick Marks
0:02:30
The Golden Play Button, Clearly Explained!!!’
0:06:46
Another 3 lessons from my Pop!!!
0:00:29
What is a Logit?
0:00:30
Logistic vs Logit Functions
0:15:51
Attention for Neural Networks, Clearly Explained!!!
0:00:30
Likelihood vs Probability
0:00:23
p-values
0:16:50
Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!!
0:00:20
Matrix Notation
0:00:20
Matrix Multiplication
0:03:27
The Ukulele: Clearly Explained!!!
0:00:32
PCA Eigenvalues
0:00:42
Type 1 Errors
0:00:29
Standardized Data
0:00:32
PCA Eigenvectors
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