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MITx_6.86x
Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep LearningBetaML.jl
Beta Machine Learning Toolkitjuliatutorial
A tutorial for the Julia language inspired by the Python tutorialSPMLJ
Introduction to Scientific Programming and Machine Learning with JuliaOdsIO.jl
ODS (LibreOffice, OpenOffice and many more..) I/O for Julia using the python ezodf moduleStrategicGames.jl
A set of functions in pure Julia for Game TheoryMyAwesomePackage.jl
A dummy package for the Julia Concise TutorialJuliaMLCourse
Introduction to Scientific Programming and Machine Learning with JuliacommonDistributionsInJuliaPythonR
Common probability distributions in Julia, Python and RIntroductionToProbability
Clone of the (now open-sourced) Grinstead and Snell 1998 "Introduction to probability" book and related algorithmsGameTheoryNotes
Student's note on Game Theory, mainly from the Coursera "Game Theory" (Jackson, Leyton-Brown & Shoham) MOOCMITx_-_6.041x_Introduction_to_Probability
Cheatsheets for the MITx course 6.041x "Introduction to Probability"MITx_18.6501x_fundamental_of_statistics
Students notes on the MITx course 18.6501x "Fundamental of Statistics"14_310x_ClassNotes
Class notes for 14_310xMITx-MicroMaster-Statistics-and-Data-Science
Cheatsheets for the subjects in the MITx MicroMaster in Statistics and Data ScienceLove Open Source and this site? Check out how you can help us