Teaching MaterialsLehrmaterialienMaterial DocenteSupports de coursMaterial Didático

Course notes, slide decks and notebooks I authored, organized by discipline. Each heading is directly linkable — use the § link to share one discipline.Vorlesungsnotizen, Foliensätze und Notebooks, die ich verfasst habe, nach Fachgebiet geordnet. Jede Überschrift ist direkt verlinkbar — nutzen Sie den §-Link, um ein Fachgebiet zu teilen.Apuntes de clase, presentaciones y notebooks de mi autoría, organizados por disciplina. Cada título tiene enlace directo — usa el § para compartir una disciplina.Notes de cours, diaporamas et notebooks que j'ai rédigés, organisés par discipline. Chaque titre est directement partageable — utilisez le lien § pour partager une discipline.Notas de aula, slides e notebooks de minha autoria, organizados por disciplina. Cada título é um link direto — use o § para compartilhar uma disciplina.

Digital Images & Computer Vision 101 7 itemsElementeelementosélémentsitens §

Basic Digital Image Representation and Operations – Part 1folder Basic Digital Image Representation and Operations – Part 2folder Project 1folder Spatial Filteringfolder Frequency Filteringfolder Face Detectionfolder Face Detection with Deep Learningfolder

Deep Learning 101 5 itemsElementeelementosélémentsitens §

Neural Networks Introfolder Neural Network Classificationfolder Neural Network Regressionfolder CNNs Introfolder CNNs with K-Fold Cross-Validationfolder

Python & Statistics 101 9 itemsElementeelementosélémentsitens §

Python 101 – part 1folder Python 101 – part 2folder Statistics 101folder Data Visualization 101folder First Mini-projectfolder Basic Distributionsfolder Testsfolder Imbalanced Datafolder Second Mini-projectfolder

Machine Learning: Classifiers & Model Validation 7 itemsElementeelementosélémentsitens §

Confusion Matrixslides Auxiliary Notebooknotebook Transfer Learningslides Auxiliary Notebooknotebook Sentiment Analysis Introfolder Style Transfer Introfolder AWS SageMaker Deploy Tutorialgithub

Supervised Learning 9 itemsElementeelementosélémentsitens §

Introductionslides Linear Regressionslides K-Nearest Neighbors (KNN)slides Artificial Neural Networksslides Auxiliary Notebooknotebook Convolutional Neural Networks (CNN)slides Auxiliary Notebooknotebook Toy dataset from Kaggledataset Toy dataset for regression exercisesdataset

Unsupervised Learning 10 itemsElementeelementosélémentsitens §

Introductionslides K-Means Algorithmslides PAM Algorithmslides DBSCAN Algorithmslides Auxiliary Notebooknotebook Autoencodersslides Auxiliary Notebooknotebook Generative Adversarial Networksslides Auxiliary Notebooknotebook Toy dataset for clustering exercisesdataset

Reinforcement Learning 4 itemsElementeelementosélémentsitens §

Multi-Armed Bandit Problemslides Markov Decision Processslides Q-learning and Actor Criticslides Introduction to Deep Reinforcement Learningslides

Robotics — LEGO MINDSTORMS EV3 4 itemsElementeelementosélémentsitens §

RileyRoverpdf 01 – Introductionslides 02 – Sounds, screen, lights and operatorsslides 03 – Fluxograms and Color Sensorslides

Talks & extras 4 itemsElementeelementosélémentsitens §

Autoencoders — Signals, Images & Video course, UnB/FGAslides Colab notebookcolab Dataset (not-MNIST)dataset CCECE 2019 Slide Presentationslides

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