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.
Comprehensive resources for data science interview preparation: assignments, math problems, logic tasks, live coding examples, and leetcode breakdowns.
A Comprehensive AX = XB Calibration Solvers in Matlab
Common Code for Competitive Programming in C++
An open-source toolkit for entropic data analysis
:notebook_with_decorative_cover: This repository is for storing my Higher Mathematics learning journey
The lecture notes for my discrete mathematics classes.
Mathematical preliminaries for machine learning
A math resource for CS student
Quizzes & Assignment Solutions for Data Science Math Skills on Coursera. Also included a few resources on side that I found helpful.
My solutions to Paul L. Meyer's "Introductory Probability and Statistical Applications, 2nd ed.", ISBN 0-201-04710-1.
Interactive Mathematica notebooks illustrating the course content of VE401, Probabilistic Methods in Engineering at UM-SJTU Joint Institute.
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
Methods used in the paper "Plausible Uncertainties for Human Pose Regression".
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
An export of my digital library (Mathematics, Logic, Physics, Numerical Analysis, Machine Learning, Computer Science)
Course notes from several math and computer science courses from CUNY Queens College.
Codes for my blog post "Understanding the EM Algorithm" https://mistylight.github.io/posts/20115/
Spherical statistics in Python
★Math researches and algorithms★
Clean Random Events for Probabilistic Reasoning 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.
Extensive learning notes on mathematics
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.