What is machine learning? A beginner’s guide
Machine learning infers rules from examples. This guide covers its definition, its three ways of learning, how we check that it works, its limits and where it sits in European regulation.
Supervised learning
The Most Common Machine Learning Algorithms, and When to Use Each One
A decision guide to choosing between linear models, logistic regression, decision trees, random forests, gradient boosting and neural networks on tabular data, with NumPy code and the limits of each approach.