Machine Learning Animations

Understanding Machine Learning through Animated Visualizations

This repository contains the source code for animated visualizations of some famous machine learning algorithms. They were created using the R package animation, and ilustrate algorithm convergence and the effect of hyper-parameter tuning. The animations available so far are:

• XGBoost decision boundary as iterations proceed:

+ View Animation

• KNN decision boundary varying the number of nearest neighbors k.

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• Multivariate Gaussian Mixture Models (GMMs) fitting by EM algorithm.

+ View Animation

• Multimodal Density Estimation using GMMs.

+ View Animation

• Tikhonov Regularization effect in Extreme Learning Machines (ELMs).

+ View Animation

• Image Segmentation using K-means.

+ View Animation

• Image Reconstruction using Principal Components Analysis (PCA).

+ View Animation

Take a look at the website and have fun!