Unsupervised learning: seeking representations of the data

Unsupervised learning: seeking representations of the data

Clustering: grouping observations together The problem solved in clustering Given the iris...
Model selection: choosing estimators and their parameters

Model selection: choosing estimators and their parameters

Score, and cross-validated scores As we have seen, every estimator exposes a score method that can judge...
Supervised learning: predicting an output variable from high-dimensional observations

Supervised learning: predicting an output variable from high-dimensional observations

The problem solved in supervised learning Supervised learning consists in learning the link between two datasets:...
A tutorial on statistical-learning for scientific data processing

A tutorial on statistical-learning for scientific data processing

Statistical learning Machine learning is a technique with a growing importance, as...
How to Develop an Intuition for Probability With Worked Examples

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 thinking through a problem and...
How to Develop an Intuition for Joint, Marginal, and Conditional Probability

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. With just two variables, we...
A Gentle Introduction to Joint, Marginal, and Conditional Probability

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 probability for a single variable....
A Gentle Introduction to Probability Density Estimation

A Gentle Introduction to Probability Density Estimation

Last Updated on September 25, 2019 Probability density is the relationship between observations and their probability. Some outcomes of a random variable will have low probability...
Python List Comprehensions

Python List Comprehensions

Share Katie SilverioMarch 18, 2019
Machine learning scikit-learn package

Machine learning scikit-learn package

8.1. Getting started with scikit-learn This is one of the 100+ free recipes...
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