Probability density function - Learn Data Science with Travis

Chapter 6 Probability density functions

Think Stats

The code for this chapter is in density.py . For information about downloading and working with this code, see Section 0.2 . 6.1 PDFs The derivative of a CDF is called a probability density function ,...

Probability Mass and Density Functions

Towards Data Science

Probability mass and density functions are used to describe discrete and continuous probability distributions, respectively. This allows us to determine the probability of an observation being…

What Is A Probability Density Function?

Towards Data Science

In the wonderful world of statistics, distributions are an absolutely vital component that sits at the center of a universe of mathematics. Distributions are used to describe data mathematically, and…...

What Is A Cumulative Distribution Function?

Towards Data Science

Back in May, I took a look at a distribution function that belongs to most statistical distributions called the Probability Density Function, or PDF. The PDF is a very important part of statistical…

A Gentle Introduction to Probability Density Estimation

Machine Learning Mastery

Last Updated on July 24, 2020 Probability density is the relationship between observations and their probability. Some outcomes of a random variable will have low probability density and other outcome...

Statistical Distributions

Towards Data Science

A probability distribution is a mathematical function that provides the probabilities of the occurrence of various possible outcomes in an experiment. Probability distributions are used to define…

Part 03: Describing Random Outcomes: PMF, CDF, and PDF

Towards AI

In the previous article, we introduced the concept of a random experiment using the example of student marks in a class. Now, we will delve deeper into how we mathematically describe the likelihood of...

The Most Common Way a Continuous Probability Distribution is Misinterpreted

Daily Dose of Data Science

Consider the following probability density function of a continuous probability distribution. Say it represents the time one may take to travel from point A to B. For simplicity, we are assuming a uni...

The Most Common Misconception About Continuous Probability Distributions

Daily Dose of Data Science

Let me ask you a question today. Consider the following probability density function of a continuous probability distribution. Say it represents the time one may take to travel from point A to B.

Distributions

Think Bayes

In the previous chapter we used Bayes’s Theorem to solve a cookie problem; then we solved it again using a Bayes table. In this chapter, at the risk of testing your patience, we will solve it one mor...

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...

How To Find Probability From Probability Density Plots

Towards Data Science

If you’ve been in data science field for quite some time, chances are you might have had made probability density plots (similar as below) to understand the overall distribution of your data. A…