probability theory - Learn Data Science with Travis

Understanding Probability Theory with Dungeons and Dragons

Towards Data Science

Probability theory is a rich branch of mathematics that also intersects with philosophy, theology and logic. Probability theory has its roots in the 1600s, when mathematicians Pascal and Fermat began…...

A Swift Introduction To Probability Theory With Python

Towards Data Science

Probability theory is a sect of mathematics that focuses on the interpretations of the likelihood of certain outcomes. The mathematical branch uses axioms to formally measure probability in probable…

Linear Algebra and Probability Theory Review for ML

Towards Data Science

Probability theory is our way of dealing with uncertainty in the world, It’s the mathematical framework that estimates the probability of an event happening with respect to other possible events…

Probability Theory — An Essential Ingredient for Machine Learning

Analytics Vidhya

This article will describe the important concepts of Probability Theory, that are required for understanding Machine Learning. Probability is a numerical description of how likely an event is to…

Understanding Probability Models and Axioms

Towards Data Science

Probability theory is one of those fundamentals, one should get down in order to succeed in the field of machine learning or artificial intelligence in general. Being a branch of mathematics…

Probability and Bayes Theorem For Data Science

Python in Plain English

Probability theory is the mathematical foundation of statistical inference which is indispensable for analyzing data affected by chance, and thus essential for data scientists. “Data science” means…

Probability

Machine Learning from Scratch Book

Many machine learning methods are rooted in probability theory. Probabilistic methods in this book include linear regression , Bayesian regression , and generative classifiers . This section covers t...

Probability concepts explained: Introduction

Towards Data Science

An accessible introduction to basic concepts in probability theory. It starts defining what a random variable is and explains how to calculate probability for simple events.

Probability: classical, frequentist and subjective approach

Analytics Vidhya

Probability can be defined as a tool to manage uncertainty. Whenever an event is neither the certain one (with probability=1) nor the impossible one (probability=0), we are facing an uncertain…

Probability Theory for Data Science and Machine Learning Engineers

Towards AI

From Basic Set Theory to Bayesian Inference Continue reading on Towards AI

Probability Part 1: Probability for Everyone a.s.

Towards Data Science

Inspired by a course which I am taking in probability theory, this blogpost is an attempt to explain the fundamentals of the mathematical theory of probability at an intuitive level. As the title…

Measure theory in probability

Towards Data Science

This post is a continuation of the previous post on the measure theory, but I think there’s no problem reading this post directly, except for the fact that it will be necessary to refer to the other…