2020
15 posts
- Incremental Cooperative Rebalancing in Kafka
- Ensembles, PCA, and K-Means on MNIST
- Kernel Methods and Random Fourier Features
- Bayes Classifiers, k-NN, and VC Dimension
- Speech Recognition with MFCC and DTW
- HMM Part-of-Speech Tagger with Baum-Welch
- Finite-State Transducers for Cards and Speech
- Word2Vec from Scratch
- Logistic Regression Decision Boundaries
- Twitter Streaming and Language Detection
- Soft-Margin SVMs: Linear and Kernel
- COTA Buses on a Map
- Logistic Regression from Scratch on MNIST
- Bayes vs LDA and VC Generalization Bounds
- Linear Regression and Bayes Decision Boundaries
2019
11 posts
- Backprop by Hand and CNNs on MNIST
- NCC Template Matching, Stereo Depth, and KNN
- Camera Calibration and Homography
- Harris Corners, FAST Corners, and OpenCV
- Tracking Objects with Covariance and Mean-Shift
- Motion History Images and Optical Flow
- Shape Moments and PCA on a Box of Dots
- Image Pyramids and Background Subtraction
- Finding Edges with Gaussians, Sobel, and Canny
- Reading Images and the NTSC Grayscale Formula
- Multithreaded Restaurant Simulation in C++14
2018
11 posts
- Fractals for Image Classification Feature Extraction
- Particle Filters and Ghost Tracking
- Value Iteration and Q-Learning
- Minimax, Alpha-Beta, and Expectimax
- DFS, BFS, UCS, and A* in Pacman
- RBF Networks for Function Approximation
- Backpropagation and the N-Bit Parity Problem
- Perceptron Learning, the XOR Problem, and Gradient Descent
- McCulloch-Pitts Neurons and Linear Separability
- BiLSTM-CNN-CRF for Sequence Labeling: A Tutorial
- Deep Learning Methods for Quotable Text