All Projects → MacroAnalyst → Probability_Theory

MacroAnalyst / Probability_Theory

Licence: MIT License
A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.

Programming Languages

Jupyter Notebook
11667 projects

Projects that are alternatives of or similar to Probability Theory

Stats Maths With Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+1424%)
Mutual labels:  statistics, probability, mathematics
Basic Mathematics For Machine Learning
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
Stars: ✭ 300 (+1100%)
Mutual labels:  statistics, probability, mathematics
Math Php
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Stars: ✭ 2,009 (+7936%)
Mutual labels:  statistics, probability, mathematics
Teaching
Teaching Materials for Dr. Waleed A. Yousef
Stars: ✭ 435 (+1640%)
Mutual labels:  statistics, probability, mathematics
Stanford Cme 106 Probability And Statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
Stars: ✭ 242 (+868%)
Mutual labels:  statistics, probability
Stdlib
✨ Standard library for JavaScript and Node.js. ✨
Stars: ✭ 2,749 (+10896%)
Mutual labels:  statistics, mathematics
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Stars: ✭ 998 (+3892%)
Mutual labels:  probability, probability-distribution
Euler
The open-source computational framework for the Swift language
Stars: ✭ 37 (+48%)
Mutual labels:  statistics, mathematics
Flex
Probabilistic deep learning for data streams.
Stars: ✭ 127 (+408%)
Mutual labels:  statistics, probability
RandLib
🚀 A library designed to facilitate work with probability, statistics and stochastic calculus
Stars: ✭ 64 (+156%)
Mutual labels:  mathematics, probability-theory
Awesome-Math-Learning
📜 Collection of the most awesome Math learning resources in the form of notes, videos and cheatsheets.
Stars: ✭ 73 (+192%)
Mutual labels:  probability, mathematics
Quant Notes
Quantitative Interview Preparation Guide, updated version here ==>
Stars: ✭ 180 (+620%)
Mutual labels:  statistics, probability
Stat Cookbook
📙 The probability and statistics cookbook
Stars: ✭ 1,990 (+7860%)
Mutual labels:  statistics, probability
Mathematics for Machine Learning
Learn mathematics behind machine learning and explore different mathematics in machine learning.
Stars: ✭ 28 (+12%)
Mutual labels:  probability, mathematics
Data-Science-and-Machine-Learning-Resources
List of Data Science and Machine Learning Resource that I frequently use
Stars: ✭ 19 (-24%)
Mutual labels:  statistics, probability
Undergraduate-in-Statistics
Using Computer with your Statistics Major Course
Stars: ✭ 57 (+128%)
Mutual labels:  probability, mathematics
hdfe
No description or website provided.
Stars: ✭ 22 (-12%)
Mutual labels:  statistics, econometrics
math-stats
A small library that does the statistics for your numbers.
Stars: ✭ 18 (-28%)
Mutual labels:  statistics, mathematics
Algorithms
Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.
Stars: ✭ 117 (+368%)
Mutual labels:  statistics, mathematics
Root
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Stars: ✭ 1,377 (+5408%)
Mutual labels:  statistics, mathematics

[Last updated in Jan 2021]

Probability Theory

A Quick Introduction to Probability Theory. This tutorial aims to refresh all most important concepts in probability theory with simple examples. Probability theory is the key foundation of statistics, econometrics and data science. Make you understand all the details in the example, use these examples as your references when encounter new problems.

Prerequiste

Since this is not an academic course, there is no sophisticated derivation, only practical examples, you need don't any prerequiste except freshman level mathematics.

Content (updating)

Lecture 1 - Joint and Conditional Probability
Lecture 2 - Bayes' Theorem
Lecture 3 - PMF, PDF and CDF
Lecture 4 - Important Distributions
Lecture 5 - Joint Distributions

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].