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⚙️AlgorithmIntermediate

Bootstrap & Resampling Methods

Bootstrap is a resampling method that estimates uncertainty by repeatedly sampling with replacement from the observed data.

#bootstrap#resampling#confidence intervals+12
⚙️AlgorithmIntermediate

Stochastic Gradient Descent (SGD)

Stochastic Gradient Descent (SGD) updates model parameters using small random subsets (mini-batches) of data, making learning faster and more memory-efficient.

#stochastic gradient descent
Advanced
Filtering by:
#linear regression
#mini-batch
#random shuffling
+12
⚙️AlgorithmIntermediate

Gradient Descent

Gradient descent is a simple, repeatable way to move downhill on a loss surface by stepping in the opposite direction of the gradient.

#gradient descent#batch gradient descent#learning rate+12