Wiki

Convolutional Neural Network (CNN)

Diffusion Models

Generative Adversarial Network (GAN)

RNN / LSTM / GRU

Transformer

Multi-Layer Perceptron & Backpropagation

Perceptron

AlexNet → VGG → ResNet

BERT

GPT (Generative Pre-trained Transformer)

Vision Transformer (ViT)

Bias-Variance Tradeoff

Ensemble Methods

Model Evaluation

Loss Functions

Optimization: SGD → Momentum → Adam

Regularization

The History of AI/ML — A Timeline

Deep Q-Network (DQN)

Policy Gradient & PPO

Q-Learning

RLHF (Reinforcement Learning from Human Feedback)

Decision Tree

Gradient Boosting / XGBoost / LightGBM

k-Nearest Neighbors (k-NN)

Logistic Regression

Naive Bayes

Random Forest

Support Vector Machine (SVM)

Linear Regression

Polynomial Regression, Ridge & Lasso

DBSCAN

Gaussian Mixture Model (GMM)

Hierarchical Clustering

k-Means Clustering

Autoencoder

Principal Component Analysis (PCA)

t-SNE

UMAP

Frontend Architecture — Monolith vs Micro-Frontend

Astro

Next.js

Nuxt.js

Remix

SvelteKit

How Browsers Work — HTML, CSS, JS

Rendering Strategies — SSG vs SSR vs CSR

TypeScript — JavaScript with Types

Angular

htmx

React

SolidJS

Svelte

Vue.js

Bundlers — Webpack, Vite, esbuild

CSS Approaches — Pure CSS, Modules, Tailwind, and More

Chain Rule

Derivatives & Gradients

Partial Derivatives

Taylor Approximation

Cross-Entropy

Entropy

KL Divergence

Dot Product & Projection

Eigenvalues & Eigenvectors

Matrix Decomposition (SVD, Eigendecomposition)

Vectors & Matrices

Constrained Optimization

Convex Optimization

Gradient Descent

Lagrange Multipliers

Bayes' Theorem

Conditional Independence

Probability Distributions

Maximum Likelihood Estimation (MLE) & MAP

Autonomous AI Agent — design notes

Audio Intelligence — design notes

Consulate Chatbot — design notes

Responsive Lamp — design notes

Investment Operations Suite — design notes

Quant Trading Platform — design notes

Radiology AI — design notes

Reinforcement Learning Lab — design notes

2026-04-07

2026-04-07

2026-04-07