Bayes' Rule Explained For Beginners. Bayes' Rule has numerous applications, from statistical analysis to machine learning. Bayes' Rule can answer a variety of probability questions, which help us (and machines) understand the complex world we live in. This article will explain Bayes' Rule in plain language.

Bayes' Rule is the most important rule in data science. It is the mathematical rule that describes how to update a belief, given some evidence. In other words – it describes the act of learning.

The equation itself is not too complex:

The equation: Posterior = Prior x (Likelihood over Marginal probability)

There are four parts:

**Posterior probability**(updated probability after the evidence is considered)**Prior probability**(the probability before the evidence is considered)**Likelihood**(probability of the evidence, given the belief is true)**Marginal probability**(probability of the evidence, under any circumstance)

Bayes' Rule can answer a variety of probability questions, which help us (and machines) understand the complex world we live in.

It is named after Thomas Bayes, an 18th century English theologian and mathematician. Bayes originally wrote about the concept, but it did not receive much attention during his lifetime.

French mathematician Pierre-Simon Laplace independently published the rule in his 1814 work *Essai philosophique sur les probabilités**.*

Today, Bayes' Rule has numerous applications, from statistical analysis to machine learning.

This article will explain Bayes' Rule in plain language.

Online Data Science Training in Noida at CETPA, best institute in India for Data Science Online Course and Certification. Call now at 9911417779 to avail 50% discount.

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

The biggest problem we face today is the commoditization of education. Individuals and corporations alike would like quality courses to be offered by the best faculty at the lowest price

For this week’s latest data science job openings, we have come up with a curated list of job openings for data scientists and analysts.

The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.