- Introducción visual a la probabilidad y la estadística (https://seeing-theory.brown.edu/es.html)
- Visualizations of Machine Learning Algorithms (http://davpinto.github.io/ml-simulations/#image-reconstruction-with-principal-components-analysis)
- Visualización de estructuras de datos y algoritmos mediante animación (https://visualgo.net/es)
- Algorithm-visualizer (https://algorithm-visualizer.org/)
- A Visual Introduction to Machine Learning (http://www.r2d3.us/)
- Interactive Machine Learning, Deep Learning and Statistics websites (https://p.migdal.pl/interactive-machine-learning-list/)
- Explained Visually (http://setosa.io/ev/)
- Interactive demonstrations for ML courses (http://arogozhnikov.github.io/2016/04/28/demonstrations-for-ml-courses.html)
- MLDemos open-source visualization tool for machine learning algorithms (https://basilio.dev/)
- MLU-Explain (https://mlu-explain.github.io/)
- Neural Network 3D Visualization Framework (https://tensorspace.org/)
- Visualización de Redes Neuronales con Tensorflow (https://playground.tensorflow.org/)
- Visualización de Algoritmo de propagación inversa (https://developers-dot-devsite-v2-prod.appspot.com/machine-learning/crash-course/backprop-scroll?hl=es-419)
- An Interactive Node-Link Visualization of Convolutional Neural Networks (https://www.cs.ryerson.ca/~aharley/vis/)
- Explicación de las Redes Neuronales Convolucionales y sus diferentes partes (https://poloclub.github.io/cnn-explainer/)
- Dibujar tu Red Neuronal (http://alexlenail.me/NN-SVG/index.html)