Introduccion
Definitions of Data Mining, Data Science, and content of the class
Mar 30, 2024
Datos I
(Un)structured data, Representation, Normalization, Noise removal,...
Mar 29, 2024
(TODO) Datos II
Basic statistics for data exploration.
Mar 28, 2024
Intro Aprendizaje Supervisado
Basics of Machine Learning and supervised learning.
Mar 27, 2024
Biases and Fairness
How to avoid making bad models.
Mar 26, 2024
Modelos Lineales
A very simple model, which is the base of deep neural networks!
Mar 25, 2024
Clasificadores
KNN, Naive Bayes, Decision Tree, Boosting, Bagging, Random Forests
Mar 23, 2024
SVM
Hinge loss, Lagrangian, KKT conditions, non-linear SVM, Kernel trick, SV Regressor
Mar 22, 2024
(TODO) Clustering
Clustering methods and associated metrics
Mar 21, 2024
(TODO) Dimensionality Reduction
Principal Component Analysis, Independant Component Analysis, t-SNE, UMAP,...
Mar 20, 2024