Blog
Minimum Description Length, often shortened to MDL, is a principle used in machine learning and data analysis to help identify models that best explain a dataset while avoiding unnecessary complexity. The main idea behind MDL is that the best model is one that...Blog
Neural networks are a machine learning technique inspired by the way the human brain processes information. They are designed to recognise patterns, learn from data, and make predictions by analysing relationships between inputs and outputs. Neural networks are...Blog
Decision trees are a supervised machine learning technique used for both classification and regression tasks. They work by breaking down a problem into a series of simple decisions, creating a tree like structure of rules that lead to a final outcome. Each step in the...Blog
XGBoost, short for Extreme Gradient Boosting, is a powerful machine learning algorithm used mainly for supervised learning tasks such as classification and regression. It is based on the idea of combining multiple simple models, typically decision trees, to create a...Blog
Ranking is a machine learning technique used to order items based on their relevance, importance, or likelihood of a particular outcome. Rather than simply predicting a value or assigning a category, ranking focuses on prioritising results so that the most useful or...
