There are 6 repositories under probability-theory topic.
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Rust for data analysis encyclopedia (WIP).
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
考研数学同济高等数学第七版线性代数浙大概率论
Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
Applied Probability Theory for Everyone
Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.
A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
A Comprehensive AX = XB Calibration Solvers in Matlab
Common Code for Competitive Programming in C++
Comprehensive resources for data science interview preparation: assignments, math problems, logic tasks, live coding examples, and leetcode breakdowns.
An open-source toolkit for entropic data analysis
The lecture notes for my discrete mathematics classes.
Mathematical preliminaries for machine learning
Interactive Mathematica notebooks illustrating the course content of VE401, Probabilistic Methods in Engineering at UM-SJTU Joint Institute.
Quizzes & Assignment Solutions for Data Science Math Skills on Coursera. Also included a few resources on side that I found helpful.
Probability Calculations with Random Numbers via Slot Machine Spin Simulation. Includes Probability Table and Results. Console App C#.
Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
My solutions to Paul L. Meyer's "Introductory Probability and Statistical Applications, 2nd ed.", ISBN 0-201-04710-1.
A math resource for CS student
Course notes from several math and computer science courses from CUNY Queens College.
An export of my digital library (Mathematics, Logic, Physics, Numerical Analysis, Machine Learning, Computer Science)
Methods used in the paper "Plausible Uncertainties for Human Pose Regression".
Codes for my blog post "Understanding the EM Algorithm" https://mistylight.github.io/posts/20115/
Spherical statistics in Python
This repository contains code for identifying correlation in a stream of samples. The sketching of sketches algorithm and the counter matrix algorithm are implemented and benchmarked.
A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.
Topics in Probability Theory and Stochastic Processes
Clean Random Events for Probabilistic Reasoning in Python