Statistical hypothesis tests report on the likelihood of the observed results given an assumption, such as no association between variables […]

# Archive | Statistics

## How to Calculate Nonparametric Rank Correlation in Python

Correlation is a measure of the association between two variables. It is easy to calculate and interpret when both variables […]

## Statistics in Plain English for Machine Learning

There is an ocean of books on statistics; where do you start? A big problem in choosing a beginner book […]

## How to Generate Random Numbers in Python

The use of randomness is an important part of the configuration and evaluation of machine learning algorithms. From the random […]

## Statistics for Evaluating Machine Learning Models

Tom Mitchell’s classic 1997 book “Machine Learning” provides a chapter dedicated to statistical methods for evaluating machine learning models. Statistics […]

## The Close Relationship Between Applied Statistics and Machine Learning

The machine learning practitioner has a tradition of algorithms and a pragmatic focus on results and model skill above other […]

## What is Statistics (and why is it important in machine learning)?

Statistics is a collection of tools that you can use to get answers to important questions about data. You can […]

## 10 Examples of How to Use Statistical Methods in a Machine Learning Project

Statistics and machine learning are two very closely related fields. In fact, the line between the two can be very […]

## Controlled Experiments in Machine Learning

Systematic experimentation is a key part of applied machine learning. Given the complexity of machine learning methods, they resist formal […]

## Statistical Significance Tests for Comparing Machine Learning Algorithms

Comparing machine learning methods and selecting a final model is a common operation in applied machine learning. Models are commonly […]