/maximum-likelihood-and-regression

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

Primary LanguageJupyter Notebook

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?