Skip to main content

Machine Learning I (Intro Lecture)

Difficulty level
Beginner
Speaker

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
Prerequisites

Experience with Python Programming Language.