Welcome to Data Science Cheatsheet
Interactive visualizations and explanations of ML/CV algorithms
ML Algorithms
Linear Regression, Logistic Regression, KNN, Decision Trees, SVM, PCA, and more
Deep Learning
Neural Networks, Loss Functions, Gradient Descent, Regularization
Computer Vision
Camera Models, Stereo Vision, Transformations, Epipolar Geometry, 3D Reconstruction
Metrics & Evaluation
Classification, Regression, Object Detection, Segmentation, Clustering Metrics
LLM
Transformers, Attention, Function Calling & RAG
Linear Algebra
Vectors & Norms, Matrices & Decompositions, Linear Systems
Statistics & Econometrics
Descriptive Statistics, Distributions, Hypothesis Testing, Econometrics & OLS
Deployment & Production
Model Quantization, Docker & Containerization
Probability Theory
Random Variables, Expectation & Variance