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Machine Learning I (Intro Lecture)

Difficulty level

This lecture provides an overview of the generalized linear models (GLM) course, originally a part of the Neuromatch Academy (NMA), an interactive online summer school held in 2020. NMA provided participants with experiences spanning from hands-on modeling experience to meta-science interpretation skills across just about everything that could reasonably be included in the label "computational neuroscience". 

Topics covered in this lesson
  • Overview of generalized linear models for different types of output and different likelihoods
  • Classifiers and regularizers
  • Review of maximum likelihood estimation for the parameters and issues around overfitting and regularization

Experience with Python Programming Language.