dirichlet distribution

Dirichlet Distribution: The Underlying Intuition and Python Implementation

Towards Data Science

The Dirichlet distribution is a generalization of the beta distribution. In Bayesian statistics, it is commonly used as the conjugate prior to the multinomial distribution, hence it can be used to mod...

Towards Data Science

A few months ago, I built a recommender system that employed topic modelling to display relevant tasks to employees. The algorithm used was Latent Dirichlet Allocation (LDA), a generative model that…

Behind The Models: Dirichlet — How Does It Add To 1?

Towards Data Science

In a previous article I presented the Dirichlet distribution as a combination of many Beta-distributed variables which add to 1.0 — this can be useful for applications where you need a “random”…

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 distributions - torch.distributions

PyTorch documentation

The distributions package contains parameterizable probability distributions and sampling functions. This allows the construction of stochastic computation graphs and stochastic gradient estimators fo...

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 ...

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…

Data Distributions

Codecademy

In data science, data distributions show how values are spread in a dataset. It helps highlight patterns, measure variability, and reveal the overall shape of the data. Distributions are often grouped...

An Introduction to Discrete Distribution Function

Python in Plain English

Binomial Distribution: In probability theory and statistics, the binomial distribution is the discrete probability distribution that gives only two possible results in an experiment, either Success…

The Bernoulli and Binomial Distributions

Analytics Vidhya

The probability for a discrete random variable can be summarized with a discrete probability distribution. A discrete random variable is a random variable that can have one of a finite set of…

A Quick Look Into Probability Distributions

Analytics Vidhya

Probability Distribution : A probability Distribution shows the list of probabilities associated with each value or a range of values for a discrete or a continuous random variable. Based on the…

Latent Dirichlet Allocation

Towards Data Science

Latent Dirichlet Allocation (LDA) is a “generative probabilistic model” of a collection of composites made up of parts. In terms of topic modeling, the composites are documents and the parts are…