Below is an extract of a 10-page cheat sheet about probability, compiled by William Chen (http://wzchen.com) and Joe Blitzstein, with contributions from Sebastian Chiu, Yuan Jiang, Yuqi Hou, and Jessy Hwang. Material based on Joe Blitzstein’s Harvard's introductory probability course (@stat110 - (http://stat110.net) and Blitzstein / Hwang’s Introduction to Probability textbook (http://bit.ly/introprobability). Licensed under CC BY-NC-SA 4.0. Please share comments, suggestions, and errors at http://github.com/wzchen/probability_cheatsheet. Full cheat sheet available here as a PDF document. 

For related cheat cheats (machine learning, deep learning and so on) follow this link. 

DSC Resources

• Book and Resources for DSC Members
• Comprehensive Repository of Data Science and ML Resources
• Advanced Machine Learning with Basic Excel
• Difference between ML, Data Science, AI, Deep Learning, and Statistics
• Selected Business Analytics, Data Science and ML articles
• Hire a Data Scientist | Search DSC | Find a Job
• Post a Blog | Forum Questions

Follow us: Twitter | Facebook