Last updated: Feb 17, 2022

Probability

Probability is another important mathematical aspect that is usually required for data analysis, algorithm optimization, and model optimization. This domain is useful for dealing with data that has a lot of variables and performing operations on it.

Introduction to Random Variables

In this blog, we discussed an introduction to random variables, followed by their types and applications.

Author Mandla Dharani

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Bayesian Estimation

The blog gives an insight into a popular parameter optimisation technique known as Bayesian Estimation.

Author Arun Nawani

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Maximum Likelihood Estimation vs Bayesian Estimation EASY

The blog lists key differences between Maximum Likelihood Estimation and Bayesian Estimation.

Author Arun Nawani

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Hypothesis Testing

This article focuses on hypothesis testing, various techniques, and their implementation.

Author Mayank Goyal

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Discrete and Continuous Random Variable

Variables that are commonly used in probability operations and are the result of measurement.

Expectation and Variance - Discrete Random Variable

In this article, we will learn about two important terms in statistics, i.e., expectation and variance.

Author soham Medewar

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Bernoulli Trials

In this article, we will learn the concept of Bernoulli trials and code implementation of it and some solved examples for better understanding the concept.

Author soham Medewar

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Independent and Identically Distributed Random Variable

In this article, we will discuss Independent and identically distributed random variables and some examples to support the explanation.

Author soham Medewar

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Binomial Random Variable

In this article, we will discuss binomial random variables and some solved examples related to them.

Author soham Medewar

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Poisson Distribution

In this blog, we discussed the introduction to Poisson distribution, mathematical definition, sample code, and its applications.

Author Mandla Dharani

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Probability Density Function

This article will study the probability density function and its implementations with some visualizations.

Author Mayank Goyal

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Cumulative Distribution Function

In this article, we will study the Cumulative Distribution Function and look into its different methods of implementation.

Author Mayank Goyal

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Uniform and Exponential Distribution

This blog will look at some of the most often used probability distributions in machine learning research.

Author Priyanshu Sharma

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Discrete Vs. Continuous Random Variable EASY

The blog walks you through two types of variables and differentiates the two.

Author Sanjana Yadav

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Multiple Random Variable

Multiple random variables, also known as multivariate random variables, are variables with undetermined values that play an important role in probability operations. These variables can be grouped based on their characteristics, which is an important consideration when grouping data with incomplete information.

Multiple Random Variables

In this blog, we will look at a crucial topic of Statistics called Multiple Random Variables. Let's begin.

Author Rajkeshav

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Expectation and Distribution(MRV)

This article will focus on Expectation and Distribution of Multivariate random variables

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This article gives a brief overview about central limit theorem

Author Tushar Tangri

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Jointly Gaussian Random Variables EASY

If the combined density function of two random variables is of the form discussed below, they are called jointly Gaussian random variable or bivariate Gaussian.

Author Tushar Tangri

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