Understanding camera optics
From pinhole cameras to convergent lenses — interactive notes on the optics behind computer vision.
Blog
Notes on robotics software and ML.
Interactive Components Demo
A showcase of interactive components available in blog posts: counters, quizzes, charts, and more.
Fruit Classification Kaggle
Training a fruit classifier on Kaggle: baselines, augmentation, and a pretrained ResNet50 pipeline.
Formula Student driverless
Notes from converting Formula Student Team Delft's electric racecar for the driverless category.
Generalized Linear Models
How linear and logistic regression fit into the broader family of Generalized Linear Models.
Logistic Regression
Logistic regression for classification using the sigmoid and maximum likelihood.
Linear Regression
Linear regression as a discriminative model: hypothesis, least squares, and gradient descent.
Naive Bayes
The Naive Bayes assumption and how conditional independence keeps generative models tractable.
Non Parametric Algorithms
Kernel density estimation and other non-parametric approaches to modeling class conditionals.
Gaussian Discriminative Analysis
Parametric density estimation with Gaussian Discriminative Analysis, including LDA and QDA.
Machine Learning
An introduction to classification in machine learning, covering generative and discriminative approaches.