Central Limit
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Central Limit
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Computer Vision
(1)
Deep Learning
(1)
MLOps
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ROC AUC
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Transformers
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Weights&Biases
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metrics
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(Almost) All You Need to Know about ROC and AUC.
metrics
ROC AUC
AUC ROC is one of the most widely used metrics for binary classification tasks in machine learning. However, I used it as a “black box” which quantifies the model…
Sep 9, 2023
Shohjahon Nishonov
Weights and Biases - A minimum for logging and experiment tracking
MLOps
Weights&Biases
Experiment tracking is a vital step in a modern machine…
Jul 30, 2023
Shohjahon Nishonov
Vision Transformer - All you need to know.
Deep Learning
Computer Vision
Transformers
It is a fact that Convolutional Neural Networks(CNN) have been dominant in Computer Vision tasks. However, ViT - AN…
Apr 24, 2022
Shohjahon Nishonov
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