theory write what intuition bias and complexity here are measure of a hypothesis of a hypothesis class H complexity is how large/complex H is bias is how small the subset of data / relation in the data that a hypothesis from H can model references machine learning - What’s the difference between estimation and approximation error? - Artificial Intelligence Stack Exchange understanding-machine-learning-theory-algorithms.pdf