
Why Should You Normalize Data in Machine Learning?
June 20, 2025 · Vitalii Sventyi · 3 min read
Normalization of data is a fundamental concept in machine learning that is often overlooked by beginners, leading to suboptimal model performance and inaccurate predictions. In simple terms, data normalization is the process of scaling and standardizing the input data in a consistent and uniform manner. But why is this normalization step so crucial in the realm of machine learning, and what consequences can arise if it is neglected?






















