WIP... Fast Fourier Transform matrix visualized! #Math #Algorithms #FastFourierTransform

#AlgorithmsFromAtoZ F: Fourier Transform

Live Fourier transform of the #BigDiamond model. Amazing! #BraggYourPattern #IUCr2023

Math is not about numbers, equations, or algorithms. Math... is about understanding how things work.show more

🌟 Big News: Introducing GeoGebra Math Practice 🚀 Our... groundbreaking #math education tool was developed in collaboration with Graspable Math. Transform how students understand & solve #algebra 🎉 Get ready for a new era of learning! #ITeachMath #MTBoSshow more

Another excellent, interactive visual explainer for math and algorithms... - using game dev concepts, is Don't forget to check the chapters on Graph Theory!show more

New episode of coding adventures: exploring sound and the... discrete Fourier transform! Many thanks to Grant Sanderson for the great videos on the subject, which helped me to wrap my head around it.show more

complex Fourier Series

happy friday – i am publishing a new post... today! (co-authored with Captain Pleasure, Andrés Gómez Emilsson and cross-posted to on something called the "fractional Fourier transform", and its relationship to subjective experience.show more

Drawing π using Fourier epicycles. 👀 [

Fourier Integral & 3D Gaussian Wave

Teamwork, visualized

$PHNIX is the $XRP Ledger's chosen one, destined to... transform every red candle into green. We're only just beginning to step out of the Matrix together. 🕶️show more

Neural network visualized!

Wave motion visualized

faraday’s law visualized

Coffee terminology, visualized

The density of a mattress, visualized.

I created this desk calendar as a source of... inspiration for anyone learning AI in 2026. It includes 24 AI algorithms and architectures, all drawn and calculated by hand. ✍️ 𝗝𝗮𝗻𝘂𝗮𝗿𝘆: [1] Matrix Multiplication; [2] Discrete Fourier Transform (DFT) 𝗙𝗲𝗯𝗿𝘂𝗮𝗿𝘆: [3] Support Vector Machine (SVM); [4] Vector Database 𝗠𝗮𝗿𝗰𝗵: [5] Multi-Layer Perceptron (MLP); [6] Backpropagation 𝗔𝗽𝗿𝗶𝗹: [7] Batchnorm; [8] Dropout 𝗠𝗮𝘆: [9] Recurrent Neural Network (RNN); [10] Long-Short Term Memory (LSTM) 𝗝𝘂𝗻𝗲: [11] Residual Network (ResNet); [12] Graph Convolutional Network (GCN) 𝗝𝘂𝗹𝘆: [13] Autoencoder; [14] Variational Autoencoder (VAE) 𝗔𝘂𝗴𝘂𝘀𝘁: [15] Generative Adversarial Network (GAN); [16] U-Net 𝗦𝗲𝗽𝘁𝗲𝗺𝗯𝗲𝗿: [17] Transformer; [18] Self Attention 𝗢𝗰𝘁𝗼𝗯𝗲𝗿: [19] Reinforcement Learning with Human Feedback (RLHF); [20] Contrastive Language-Image Pre-training (CLIP) 𝗡𝗼𝘃𝗲𝗺𝗯𝗲𝗿: [21] Diffusion Transformer; [22] Switch Transformer 𝗗𝗲𝗰𝗲𝗺𝗯𝗲𝗿: [23] Sparse Autoencoder; [24] BitNetshow more