Awesome Machine Learning Visualizations

A curated list of visualizations/animations of Machine learning algorithms

Photo by Ramón Salinero on Unsplash

I have the habit of bookmarking any good visualization or animations that I come across while learning machine learning and took a few efforts to organize it. The following are the curated list of interactive and animated visual explanations of various machine learning algorithms and concepts grouped together concept-wise in no order.

Pictures are worth a thousand words and I feel strongly these interactive visualizations and animations are worth a thousand images. This will be more helpful

1. If you are a beginner like to get better intuition about a concept
2. If you are a trainer looking for a better way to explain a concept.

This list is not following any order. You can use this as a reference place to look for interactive visualizations to understand or let others understand a particular concept.

Mathematics behind Machine Learning

Probability

• Basic Probability
• Compound Probability
• Conditional Probability
• Probability Distributions
• Bayesian Inference
• Central limit theorem
• Monty hall problem
• Basic probability concepts

Statistics

• Statistics Demonstrations
• Frequentist Inference
• Comparing Mean median and mode
• Measures of Central tendency
• Basic statistics concepts
• Kernel density estimation

Calculus

• Derivates visualization
• Derivatives definition
• Derivatives without words
• Basic calculus concepts
• Fourier transforms

Linear Algebra

• Eigenvalues and Eigenvectors
• Basic algebra concepts
• matrix multiplication
• Invitation to another dimension
• Immersive linear algebra
• Matrix decomposition

Machine Learning Algorithms

Regression

• Linear Regression
• Ordinary Least Square Regression
• Regression Analysis

Support Vector Machines

• SVM demo
• SVM with polynomial kernel visualization
• Find the demo at the end of this blog

Decision Trees and Tree ensembles

• Visual Introduction to Machine Learning
• Random Forest demo

Naive Bayes

• Bayes Theorem

KNN

• Stanford cs231n Demo

Clustering

• Visualizing k-means clustering
• Visualizing DBSCAN clustering

Dimensionality Reduction

• Dimensionality reduction
• PCA
• tsne js
• tsne for the web

Deep Learning Algorithms

Neural Networks

• A Visual and Interactive Guide to the Basics of Neural Networks
• A Visual And Interactive Look at Basic Neural Network Math
• Back Propagation Math flow
• Animated demo
• Tensorflow Playground
• NN 3D Simulation
• Neural network zoo
• Parameter optimization
• Initializing neural networks

Convolutional Neural Networks

• CNN Visualization video
• Image kernels
• CNN 3D Simulation
• MNIST 3D Visualization
• Convolutional layer
• Maxpooling layer
• keras.js
• convnet.js

Sequence Models

• Animated RNN and LSTM
• illustrated-word2vec
• Glove demo
• illustrated-transformer
• illustrated-bert
• a-visual-guide-to-using-bert-for-the-first-time
• visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention
• illustrated-gpt2
• recurrentjs

GAN

• GAN Playground

Reinforcement Learning

• Markov-chains
• Reinforcement learning example 1
• Reinforcement learning example 2

Other machine learning concepts

• visual-numpy
• gentle-visual-intro-to-data-analysis-python-pandas
• visualizing-pandas-pivoting-and-reshaping
• Model tuning and the Bias-variance tradeoff
• L2 Regularization

General Resources

• explorables
• Explained visually
• Seeing Theory
• distill pub
• jalammar github
• desmos
• geogebra
• Collection of Interactive Machine learning examples
• Teachable Machine learning
• AI notes

GitHub version is here! Feel free to give a pull request if you like to add any visualizations that I had missed or share it in the comments.

I hope it helps! Connect with me here!