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Geometric Distribution Simply Explained

Towards Data Science

A simple description and uses of the Geometric distribution Continue reading on Towards Data Science

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…

Understanding The Hypergeometric Distribution

Towards Data Science

The binomial distribution is a well-known distribution in and outside of data science. However, have you heard about its less popular cousin the hypergeometric distribution? Well if not, this post…

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...

A Gentle Introduction to Statistical Data Distributions

Machine Learning Mastery

Last Updated on August 8, 2019 A sample of data will form a distribution, and by far the most well-known distribution is the Gaussian distribution, often called the Normal distribution. The distributi...

Visualizing Beta Distribution and Bayesian Updating

Towards Data Science

Beta distribution is one of the more esoteric distributions compared to Bernoulli, Binomial and Geometric distributions. This post supplements intuitive understanding with visual learning.

Seven Must-Know Statistical Distributions and Their Simulations for Data Science

Towards Data Science

A statistical distribution is a parameterized mathematical function that gives the probabilities of different outcomes for a random variable. There are discrete and continuous distributions depending…...

Geometric Priors I

Towards Data Science

Geometric Deep Learning Groups, Representations, Invariance & Equivariance A series of blog posts that summarize the Geometric Deep Learning (GDL) Course, at AMMI program; African Master’s of Machine...

Stochastic Processes Simulation — Generalized Geometric Brownian Motion

Towards Data Science

Stochastic Processes Simulation — Generalized Geometric Brownian Motion Part 5 of the Stochastic Processes Simulation series. Simulate generalized Brownian motion in Python. Image by author. Alas, we...

Data Distribution using Numpy with Python

Towards AI

The ‘Normal distribution’, also known as ‘Gaussian distribution’ or ‘bell curve’ is one of the most important probability distributions in statistics as it fits many natural phenomena like blood…

Geometric Priors II

Towards Data Science

Geometric Deep Learning The GDL Blueprint A series of blog posts that summarize the Geometric Deep Learning (GDL) Course, at AMMI program; African Master’s of Machine Intelligence, taught by Michael ...

Distributions

Dive intro Deep Learning Book

Now that we have learned how to work with probability in both the discrete and the continuous setting, let’s get to know some of the common distributions encountered. Depending on the area of machine ...