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
Computer Vision Architectures
ImageNet, Revolution of depth, Classical classifiers architectures
Mar 21, 2024
(TODO) Clustering
Clustering methods and associated metrics
Mar 21, 2024
Transfer Learning
Motivation, Principle, Types of TL, Weights unfreezing, Pre-training datasets, SoTA
Mar 20, 2024
(TODO) Dimensionality Reduction
Principal Component Analysis, Independant Component Analysis, t-SNE, UMAP,...
Mar 20, 2024
Redes Neuronales
Introduccion a los redes neuronales, bases del apprendizaje profundo
Mar 19, 2024
Object Detection
Principle, IoU and mAP, Classical Object Detection, Segmentation and Mask-RCNN, SoTA
Mar 19, 2024
Intro a la NLP
Procesamiento de Lenguaje Natural
Mar 18, 2024
Generative LLMs
In-Context-Learning, Tokenization, Instructions and Alignments, Reasonings, Training and Evaluating in Practice, LLMs as Agents
Mar 11, 2024