Wednesday, February 23, 2020
Grand Collection of Excellent Tutorials
Over the years, when I find a good tutorial or explanation of something, I've been saving a bookmark. Someday I will organize these by subject, but until then here you go!
o An Intuitive Guide to Linear Algebra – BetterExplained
o Finite difference methods for 2D and 3D wave equations
o Visualizing quaternions, an explorable video series
o SciPy Cookbook documentation
o How To Make Custom AI-Generated Text With GPT-2
o The Illustrated Transformer – Visualizing machine learning one concept at a time
o Practical Deep Learning for Coders
o Machine Learning Crash Course | Google Developers
o Circles Sines and Signals - Introduction
o A hands-on introduction to video technology: image, video, codec
o PCA Principal Components Analysis visualized for human beings
o Understanding Kalman Filters with Python
o An Interactive Introduction to Fourier Transforms
o Quantum Mechanics (Stanford Encyclopedia of Philosophy)
o Condensed matter nanoscale primer
o Physarum - slime mold patterns
o Fluid dynamic simulation (material point method)
o Visual Introduction to Machine Learning
o Tutorial - What is a variational autoencoder?
o Look Ma, No For-Loops: Array Programming With NumPy
o Convolutional neural networks
o Attention and Augmented Recurrent Neural Networks
o Bayes sampling and Markov Chain Monte Carlo tutorial
o How neural networks are trained
o Ring Counter Variations (Counters built with neon tubes and diodes)
o Survey of Alternative Displays
o Python Machine Learning /README.md
o Bayesian Methods for Hackers
o Matplotlib - Python Data Science Handbook
o A Visual Guide to Evolution Strategies
o An Overview of Runestone Interactive
o MCMC (Monte Carlo Markov Chain) sampling for dummies
o Word2Vec Tutorial - The Skip-Gram Model · Chris McCormick
o SDF Tutorial 1 : box & balloon
o Ordinary Least Squares Regression explained visually
o Semantic Search with Latent Semantic Analysis
o Vectors, what even are they? | Essence of linear algebra (video)
o Tutorial on making interactive tutorials (aka Explorables)
o Visualizing complex analytic functions using domain coloring
o Sine and Cosine explained visually
o Metaballs and Marching Squares
o Exploring Bezier and Spline Curves – Richard Fuhr – Medium
o Why Momentum Really Works -- Gradient Descent
o A quick look at Support Vector Machines
o How to Use t-SNE Effectively
o git - the simple guide - no deep shit!
o Image Completion with Deep Learning in TensorFlow
o Drawing contour lines: Meandering Triangles
o Understanding Julia and Mandelbrot Sets
o Understanding the Basis of the Kalman Filter
o An Interactive Guide To The Fourier Transform
o The Math Trick Behind MP3s, JPEGs, and Homer Simpson’s Face
o Reaction-Diffusion by the Gray-Scott Model: Pearson's Parameterization at MROB
o A short Hostory of Color Theory
o The Riemann Hypothesis, explained
o Programatically understanding dynamic time warping
o Bezier Curves from the Ground Up
o Recurrent Neural Network Tutorial for Artists
o Using Perlin Noise to Generate 2D Terrain and Water
o A Visual Introduction to Machine Learning
Testing footnotes? [^1]
[^1]: Here's a footnote!
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