When and how to use weigthed regression.
An example on over optimistic inference.
A few comments to have in mind about R2
Some details about OLS as smoothing of the training data. Weighted average of Y by distance of X to the center and variance of X.
Basic usage of Pyspark and link to useful documentation.
Softmax vs Sigmoid. How weights are updated in the last layer.