AI/ML

ML Algorithms

The algorithms behind machine learning, from linear regression to neural networks.

Supervised learning

Linear Regressioncoming soon
Logistic Regressioncoming soon
Decision Treescoming soon
Random Forestcoming soon
Support Vector Machinescoming soon
K-Nearest Neighborscoming soon
Naive Bayescoming soon
Gradient Boostingcoming soon

Unsupervised learning

K-Means Clusteringcoming soon
Hierarchical Clusteringcoming soon
DBSCANcoming soon
PCAcoming soon
t-SNEcoming soon
Autoencoderscoming soon

Neural networks

Overview
Perceptroncoming soon
Feedforward Networkscoming soon
Backpropagationcoming soon
Activation Functionscoming soon
Optimizationcoming soon
Regularizationcoming soon

Convolutional networks

CNN overview
CNN Basicscoming soon
Convolution Layerscoming soon
Poolingcoming soon
CNN Architecturescoming soon
Transfer Learningcoming soon

Recurrent networks

RNN Basicscoming soon
LSTMcoming soon
GRUcoming soon
Sequence Modelscoming soon

Probability & statistics

Probability Basics
Distributionscoming soon
Bayes Theoremcoming soon
Maximum Likelihoodcoming soon