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Independent and Identically Distributed

Towards Data Science

A collection of random variables is independent and identically distributed if each variable has the same probability distribution as the others and all are independent.

Intuition for Independent and Identically Distributed

Towards Data Science

The main purpose of data science generally, and machine learning specifically, is to use the past to predict the future. Beyond the specific assumptions of various statistical models, the inescapable…...

Different Probability Distributions Part 2

Towards AI

Now we will see the Continuous variable distributions whereas in part 1 we saw the discrete distributions. In continuous distributions the point probability is equal to “0” and some of the…

Uncorrelatedness and Independence

Analytics Vidhya

A lot of people have difficulties to differentiate principal component analysis (PCA) and independent component analysis (ICA). PCA is a machine learning algorithm that can transform a data set…

Random Variables and Probability Distributions

Towards Data Science

Master the random variables and probability distributions and crack your next Data Science Interview with the third part of our Statistics Cheat Sheet series Photo by Naser Tamimi on Unsplash Random ...

Independence, Covariance and Correlation between two Random Variables

Towards Data Science

In this article, I’ll talk about independence, covariance, and correlation between two random variables.

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…

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…

Conditional Independence

Towards AI

The independence that can be realized in the real world When it comes to probability theory we all would have heard of joint distribution, marginal distribution, independence, etc. In this article, I...

Uncorrelated vs Independent Random Variables— Definitions, Proofs, & Examples

Towards Data Science

Regarding technical knowledge, I’m generally a proponent of having grounded understanding in the methods one is using. I don’t typically like memorizing anything and avoid doing so whenever possible…

Statistical independence for beginners

Towards Data Science

Intuitive interpretations with R and Excel functions Continue reading on Towards Data Science

Random Variable

Analytics Vidhya

One of the basic concepts of statistic is a Random Variable. So, what is Random Variable? Random variable links the outcome of an event to a number. Let’s take an example. X is variable which takes…