Category Machine Learning

14 Jul 2018	Gaussian Mixture Model EM Algorithm - Vectorized implementation
10 Jul 2018	AdaBoost: Implementation and intuition
01 Jul 2018	Tree based models
28 Jun 2018	Kernels and Feature maps: Theory and intuition
26 Jun 2018	Support Vector Machine: Python implementation using CVXOPT
25 Jun 2018	Support Vector Machine: calculate coefficients manually
22 Jun 2018	Linear and Quadratic Discriminant Analysis
22 Jun 2018	Gaussian Naive Bayes Classifier: Iris data set
22 Jun 2018	Optimal Bayes Classifier
22 Jun 2018	Maximum Likelihood Estimator: Multivariate Gaussian Distribution
14 Jun 2018	Lasso regression: implementation of coordinate descent
14 Jun 2018	Ridge and Lasso: visualizing the optimal solutions
13 Jun 2018	Lasso regression: derivation of the coordinate descent update rule
12 Jun 2018	Coordinate Descent - Implementation for linear regression
12 Jun 2018	Ridge regression and L2 regularization - Introduction
11 Jun 2018	Choosing the optimal model: Subset selection
08 Jun 2018	Animations of gradient descent: Ridge regression
24 May 2018	Locally Weighted Linear Regression (Loess)
20 May 2018	Introduction to Optimization and Visualizing algorithms

Data Blog Data Science, Machine Learning and Statistics, implemented in Python