beneit / maximum-likelihood-and-regression

code from a lession about maximum likelihood, linear and non-linear regression, neural networks and LSTM

Maximum Likelihood and Regression

• Explains maximum likelihood procedure for the general regression problem
• Dependent/independent variables
• Neural networks as universal regression function approximator
• Why use LSTM?