hypergeometric distribution - Learn Data Science with Travis

Understanding The Hypergeometric Distribution

Towards Data Science

The binomial distribution is a well-known distribution in and outside of data science. However, have you heard about its less popular cousin the hypergeometric distribution? Well if not, this post…

Geometric Distribution Simply Explained

Towards Data Science

A simple description and uses of the Geometric distribution Continue reading on Towards Data Science

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…

Why Is The Log-uniform Distribution Useful For Hyperparameter Tuning?

Towards Data Science

Improve your grid search with this small change Continue reading on Towards Data Science

Distributions

Think Bayes

In the previous chapter we used Bayes’s Theorem to solve a cookie problem; then we solved it again using a Bayes table. In this chapter, at the risk of testing your patience, we will solve it one mor...

Beta Distributions: A Cornerstone of Bayesian Calibration

Towards Data Science

Hi there! Distributions may not seem like a complex concept at first glance, but they are incredibly powerful and fundamental in the world of data analysis and statistics. Think about it this way: if ...

Understanding Hyperparameters and its Optimisation techniques

Towards Data Science

What are Hyperparameters? In statistics, hyperparameter is a parameter from a prior distribution; it captures the prior belief before data is observed. Model parameters are the properties of training…...

Smart Grid Search: Case Study with Hybrid Zeta-geometric Distributions and Synthetic Data

Machine Learning Techniques

The objective is two-fold. First, I introduce a 2-parameter generalization of the discrete geometric and zeta distributions. Indeed, a combination of both. It allows you to simultaneously match the va...

Visualizing Beta Distribution and Bayesian Updating

Towards Data Science

Beta distribution is one of the more esoteric distributions compared to Bernoulli, Binomial and Geometric distributions. This post supplements intuitive understanding with visual learning.

Wiggly Distributions and Nonparametrics

Towards Data Science

Larry Wasserman’s book, All of Nonparametric Statistics, opens by describing the kinds of distributions people tend to focus on when studying nonparametric estimators: Whenever I see a constraint…

Dirichlet Distribution: The Underlying Intuition and Python Implementation

Towards Data Science

The Dirichlet distribution is a generalization of the beta distribution. In Bayesian statistics, it is commonly used as the conjugate prior to the multinomial distribution, hence it can be used to mod...

Statistical Distributions

Towards Data Science

A probability distribution is a mathematical function that provides the probabilities of the occurrence of various possible outcomes in an experiment. Probability distributions are used to define…