/lml2018

This repository keeps all the material of the Learning Machine Learning Course taught at Universidad del Rosario, Colombia, in July 23-28, 2018

Primary LanguageJupyter Notebook

lml2018

Lectures:

  • Lecture 1: Introduction to the course, machine learning and statistical learning. Introduction to ML concepts and basic statistical thinking

  • Lecture 2 Regression, knn and linear regression, overfitting and model selection. Multi-regression, poly regression, cross validation.

  • Lecture 3 Classification: Basic concepts kNN and logistic regression
  • Lecture 4 Perceptron, back-prop, SGD
  • Lecture 5 Trees, simple decision trees,
  • Lecture 6 Bagging, RF, Boosting
  • Lecture 7 Deep Neural Nets - Fully connected, design choices
  • Lecture 8 CNNs, RNNs, Auto-encoders, etc.