- Explains maximum likelihood procedure for the general regression problem
- Dependent/independent variables
- Neural networks as universal regression function approximator
- Why use LSTM?
beneit/maximum-likelihood-and-regression
code from a lession about maximum likelihood, linear and non-linear regression, neural networks and LSTM
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