Bias and Variance in Machine Learning
Introduction Bias and variance are fundamental concepts in machine learning that play a crucial role in model development and performance. Understanding these concepts is essential for building models that generalize well to new, unseen data. This article explores the definitions, implications, and techniques related to bias and variance in machine learning, providing practical examples and