Machine Learning Basics: Paradigms, Datasets & The Bias-Variance Tradeoff

Deep Learning is a specialized subfield of Machine Learning (ML). While Deep Learning uses Neural Networks to solve complex problems like image recognition and language generation, the fundamental rules of how these models learn and are evaluated come from traditional Machine Learning.

Let's look at the foundational ML concepts you need before building your first Neural Network.

1. How Machines Learn: The Data Splits