CompPhysics/MachineLearning
Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html. Contains Linear and Logistic Regression, Neural Networks and Deep Learning methods, Decision Trees, Random forests, Boosting methods and other ensemble methods, support vector machines and central unsupervised learning algorithms.
CC0-1.0
Stargazers
- 1991sigCognite
- ageriksen
- alex-benderr2land
- alexahs
- andersy005@carbonplan
- aromanroInvictus Wings SRL
- astraxFST-UTM
- bhavin-s
- bratajczykGdańsk
- bsamsethNorway
- BsingstadAkershus University Hospital
- copperwireExpert Analytics @expertanalytics
- curious-discordian
- Cyangray
- Dyaopf
- emsr
- halvarsu
- jkismul
- JucksonP
- keweik
- klaykulik
- LaserWong
- listentorain-WUniversity of Chinese Academy of Sciences
- Lunaire86Oslo, Norway
- mikaelra
- mohammedaugie13@bitwyre
- morteleUniversity of Oslo
- PatechocStatnett SF
- qTipTipCognite
- saviocmc@asalab-ltda @pilfil
- SchoyenUniversity of Oslo
- shadercoderIGG
- Sharu95Norway
- sifoss
- simenojensen
- sivertkhInfraCERT