probability theory

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…...

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…

Probability theory: Explaining prediction of uncertainty

Towards AI

Our future, as we all know, is uncertain. Using the techniques available right now, it is nearly impossible to predict the future. But we still make plans for the future, assuming things will go in a ...

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 Theory for Data Science and Machine Learning Engineers

Towards AI

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

Practical Probability Theory: All About That Single Random Variable

Towards Data Science

In this post, we will review some of the most useful probability concepts and important tools for exploratory data analysis. The table of content is given in the mind map above. Throughout the post…

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 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…

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

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...

Exploring Probability Theory with Rust: A Pioneering Journey

Level Up Coding

An overview of 11 probability distributions in Rust Photo by Melanie LeDuc on Unsplash TLDR; Probability theory is crucial in data science, particularly in random sampling. This article explores its ...