Multinomial distribution - Learn Data Science with Travis

Travis chat

The Multinomial Probability Distribution

Analytics Vidhya

A multinomial distribution is the probability distribution of the outcomes from a multinomial experiment. A multinomial experiment is a statistical experiment that has the following properties: The…

Multinomial Distribution in R

R-bloggers

Introduction The multinomial distribution is a probability distribution that describes the probability of obtaining a specific number of counts for k different outcomes, when each outcome has a fixed ...

Understanding Multinomial Distribution using Python

Towards Data Science

The math and intuition behind the multinomial distribution Continue reading on Towards Data Science

The Multinomial Distribution in R

R-bloggers

The post The Multinomial Distribution in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. The Multinomial Distributio...

Multinomial Naive Bayes Classifier

Towards Data Science

What we’ll see: What is the multinomial distribution: As opposed to Gaussian Naive Bayes classifiers that rely on assumed Gaussian distribution, multinomial naive Bayes classifiers rely on multinomial...

torch.multinomial

PyTorch documentation

Returns a tensor where each row contains num_samples indices sampled from the multinomial probability distribution located in the corresponding row of tensor input . Note The rows of input do not need...

Fun with the Binomial Distribution

Towards Data Science

Everyone knows and loves the normal distribution. It is used in a huge variety of applications such as investment modeling, A/B testing, and manufacturing process improvement (six sigma). But people…

Probability Distribution

Towards Data Science

I’m a data scientist for a mobile application. As a data scientist, you will often draw a random sample from the population to conduct experiments or analyses. With the random sample, you make…

Multinomial Models for Nominal Data

Towards Data Science

The popular multinomial logistic regression is known as an extension of the binomial logistic regression model, in order to deal with more than two possible discrete outcomes. However, the…

Dice, Polls & Dirichlet Multinomials

Towards Data Science

This article explores a few applications of Bayesian Statistics and the Dirichlet Multinomial distribution using probabilistic programming and PyMC3.

Statistics 101: the Binomial Distribution

Towards Data Science

Experiments consisting of a sequence of identical and independent trials resulting in one of two outcomes are known as binomial experiments. Examples of events that follow the binomial distribution…

Using Binomial Distribution in Python

Towards Data Science

Exploring the binomial distribution in Python: understanding probability calculations for coin flips with different methods Photo by Joshua Hoehne on Unsplash In today’s article, I’ll show you how to...

Binomial distributions in practice

Towards Data Science

Any doubts about the binomial distribution? After reading, you will comfortably use the binomial distributions from both theoretical and practical perspectives.

Understanding The Hypergeometric Distribution

Towards Data Science

Breaking down one of the less well-known distributions in data science Continue reading on Towards Data Science

Binomial And Poisson Distribution

Analytics Vidhya

It is a discrete distribution and describes success or failure of an event. e.g:- In an examination student can either pass or fail , if a coin is tossed it gives either head or tail. In other word…

Statistical Distributions

Becoming Human: Artificial Intelligence Magazine

The normal distribution is the most important probability distribution in statistics because it fits many natural phenomena. In this article we will cover some distributions that I have found useful…

Hypergeometric Distribution Explained With Python

Towards Data Science

With probability problems in a math class, the probabilities you need are either given to you or it is relatively easy to compute them in a straight-forward manner. But in reality, this is not the…

Just How Do We Plot Multinomial Features?

Towards Data Science

Using PCA, we can reduce our features from (n) down to either 2 or 3 dimensions which can then be plotted. We will start by looking at our dataset as we downloaded from kaggle. We can see 4…

Binomial Distribution — Practical Intro with Drive-Thru Business Analytic

Towards Data Science

Probability distribution is a very useful statistical tool to estimate the performance or risk hidden in a business activity. Many businesses stakeholders rely on the probability distribution to…

Important Points About Binomial Distribution with Implementation

Python in Plain English

Part 5: Statistics Series Hello, welcome back to the statistics series. I know this is the statistics series for data science and I am talking about a probability distribution, which may sound odd to ...

Multinomial Logistic Regression With Python

Machine Learning Mastery

Multinomial logistic regression is an extension of logistic regression that adds native support for multi-class classification problems. Logistic regression, by default, is limited to two-class classi...

Using Python to Calculate Binomial Probabilities

Python in Plain English

Is it binomial? Four conditions: 1) The trials are independent. 2) The number of trials is fixed. 3) Trials can be classified as a success or failure. 4) The probability of success for each trial is t...

Demystifying the Binomial Distribution

Towards Data Science

Before we jump into binomial distributions, it is important to understand Bernoulli trials. A Bernoulli trial is a term that is used in probability theory and statistics. It is a trial (an…

Distribution of a single variable

Analytics Vidhya

It is customary to refer to the raw numbers as data and the output of data analysis as information. You start with the data, and you hope to end with information that an organization can use for…