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| | Learning maximum likelihood estimation by fitting logistic regression 'by hand' (sort of)
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| | Learning by doing: predicting the outcome.
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| | Using regularization has many benefits, the most common are reduction of overfitting and solving multicollinearity issues. All of this is co...
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| Explore RNNs: their unique architecture, working principles, BPTT, pros/cons, and Python implementation using Keras.