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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

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...

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 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 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

Machine Learning Glossary

Probability Links Screenshots License Basic concepts in probability for machine learning. This cheatsheet is a 10-page reference in probability that covers a semester’s worth of introductory probabili...

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 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…

What is Probability?

Towards Data Science

From a young age, we are taught about probabilities — often through the use of simple examples such as coin flips or dice throws. However, what is the actual definition of probability? For basic…

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 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…