Awesome Machine Learning Visualisations

This curated compilation presents interactive, animated visual explanations of various machine learning algorithms and fundamental concepts, organized by topic. It serves as a dynamic resource for deepening understanding through visualization.

How to Use This Resource

The old adage, "A picture is worth a thousand words," applies profoundly here. These interactive visualizations and animations offer insights far beyond what static images alone can convey. This collection is valuable for:

• Beginners seeking to develop a more intuitive understanding of machine learning concepts.

• Educators looking for effective tools to explain complex ideas to others.

These resources are organized by topic but are not in a strict order. Think of this list as a reference library for exploring or teaching key concepts in machine learning.

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

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

  
  

I hope these resources serve as a valuable aid on your journey through machine learning. Connect with me for further discussion!