# probability

## How to Calculate the Divergence Between Probability Distributions

Last Updated on October 18, 2019 It is often desirable to quantify the difference between probability distributions for a given…

## How to Develop a Naive Bayes Classifier from Scratch in Python

Last Updated on October 7, 2019 Classification is a predictive modeling problem that involves assigning a label to a given…

## A Gentle Introduction to Bayes Theorem for Machine Learning

Bayes Theorem provides a principled way for calculating a conditional probability. It is a deceptively simple calculation, although it can…

## Probability for Machine Learning (7-Day Mini-Course)

This is called the “Boy or Girl Problem” and is one of many common toy problems for practicing probability. Post…

## How to Develop an Intuition for Probability With Worked Examples

Probability calculations are frustratingly unintuitive. Our brains are too eager to take shortcuts and get the wrong answer, instead of…

## How to Develop an Intuition for Joint, Marginal, and Conditional Probability

Probability for a single random variable is straight forward, although it can become complicated when considering two or more variables.…

## A Gentle Introduction to Joint, Marginal, and Conditional Probability

Probability quantifies the uncertainty of the outcomes of a random variable. It is relatively easy to understand and compute the…

## A Gentle Introduction to Probability Density Estimation

Probability density is the relationship between observations and their probability. Some outcomes of a random variable will have low probability…

## Continuous Probability Distributions for Machine Learning

The probability for a continuous random variable can be summarized with a continuous probability distribution. Continuous probability distributions are encountered…

## Discrete Probability Distributions for Machine Learning

The probability for a discrete random variable can be summarized with a discrete probability distribution. Discrete probability distributions are used…

## A Gentle Introduction to Probability Distributions

Probability can be used for more than calculating the likelihood of one event; it can summarize the likelihood of all…

## What Is Probability?

Uncertainty involves making decisions with incomplete information, and this is the way we generally operate in the world. Handling uncertainty…

## 5 Reasons to Learn Probability for Machine Learning

Probability is a field of mathematics that quantifies uncertainty. It is undeniably a pillar of the field of machine learning,…

## Resources for Getting Started With Probability in Machine Learning

Machine Learning is a field of computer science concerned with developing systems that can learn from data. Like statistics and…

The information paradoxAndrea BerdondiniBlockedUnblockFollowFollowingJul 9ABSTRACT: The following paradox is based on the consideration that the value of a statistical datum…

## WHAT and WHY of Log Odds

WHAT and WHY of Log OddsPiyush AgarwalBlockedUnblockFollowFollowingJul 8The three main categories of Data Science are Statistics, Machine Learning and Software Engineering.…

## Bayesian inference problem, MCMC and variational inference

Bayesian inference problem, MCMC and variational inferenceOverview of the Bayesian inference problem in statistics. Joseph RoccaBlockedUnblockFollowFollowingJul 1Credit: Free-Photos on PixabayThis post…

## Demystifying Tensorflow Time Series: Local Linear Trend

Tensorflow time series uses a mean-field variational family for q(z). A mean-field family is a restriction on the relationship among…

## Ever Wondered Why Normal Distribution Is So Important?

What is the logic behind it?The idea revolves around the theorem that when you repeat an experiment a large number of…

## Summarizing The Great Gatsby using Natural Language Processing

Let’s define the transition probabilities between two sentences as equal to the cosine similarity between the two sentences. We’ll then…

## Converting between nines and sigmas

Nines and sigmas are two ways to measure quality. You’ll hear something has four or five nines of reliability or…

## 5 Probability Distributions Every Data Scientist Should Know

Here’s your reward. Source: pixabay. Now that you know what a probability distribution is, let’s learn about some of the…

## Probability Distributions Every Data Scientist Should Know

Here’s your reward. Source: pixabay. Now that you know what a probability distribution is, let’s learn about some of the…

## An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals

Source: i. ytimg. com Let E denote the event that a red ball is chosen and A, B, and C…

## Predicting Customer Lifetime Value with “Buy ‘Til You Die” probabilistic models in Python

And above all, how long should we expect a customer to be “alive” for?While these are very common questions among…