Awesome list for all things AI, ML and deep learning
This repository contains R code for exercices and plots in the famous book.
Repo for Statistical Learning course offered by Stanford University
Statistical Models with Regularization in Pure Julia
Organizing concepts related to machine learning and artificial intelligence
Full Bayesian Inference for Hidden Markov Models
SuperLearner guide: fitting models, ensembling, prediction, hyperparame...
BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boo...
基于Julia 1.0写李航博士《统计学习方法》
:evergreen_tree: broom helpers for decision tree methods (rpart, randomF...
Conditional Associative Logic Memory
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial