statistical-learning topic
ml-knowledge-graph
Organizing concepts related to machine learning and artificial intelligence
CALM
Conditional Associative Logic Memory
Hamiltonian-driven-shadow-tomography-page
A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/pdf/2102.10132.pdf)
superlearner-guide
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
sldm4-h2o
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
data-science
Lecture Slides for Introduction to Data Science
broomstick
:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:
SparseRegression.jl
Statistical Models with Regularization in Pure Julia
JCLAL
JCLAL is a general purpose framework developed in Java for Active Learning.
BayesHMM
Full Bayesian Inference for Hidden Markov Models