Cheatsheets for the subjects in the MITx MicroMaster in Statistics and Data Science
In this repository I host only the very condensed cheatsheets for the exams of the MicroMaster in Statistics and Data Science.
For more detailed cheatsheets and notes see the specific repositories for the individual courses:
- Probability: https://github.com/sylvaticus/MITx_-_6.041x_Introduction_to_Probability
- Statistic theory: https://github.com/sylvaticus/MITx_18.6501x_fundamental_of_statistics
- Applied statistics: https://github.com/sylvaticus/14_310x_ClassNotes
- Machine Learning: https://github.com/sylvaticus/MITx_6.86x (and an implementation in Julia: https://github.com/sylvaticus/BetaML.jl)