Recently Published
K-means
Actually the most valuable thing here is graphics.
Hebbian-Based PCA
This work implements Hebbian-based PCA implemented as a simple feedforward one-layer neural network. It has m inputs that corresponds to the number of features of our original data.
Ensembles of Classifiers
Bagging and cross-validation
Bayesian Learning
MAP and Naive Bayes implementation
Instance-based learning: kNN, weighted kNN
This is a great illustration of when NOT to use kNN. It's one of the simplest algorithms in terms of implementation, but I'd use it with care. It's really slow.
Concept Learning: Find-S and Candidate Elimination
Implementation of Find-S and Candidate algorithms from classical "Machine Learning" textbook (Mitchell).
MLnure_l1
Lab 1 for KNURE Machine Learning course.
Решение ОДУ с помощью численных методов
Метод Эйлера, усовершенствованные метод Эйлера, модифицированный метод Эйлера, метод Рунге-Кутта 4 порядка.
Интерполяция (черновик)
Полиномиальная интерполяция с помощью первой формулы Ньютона и формулы Лагранжа.