Data Glide

Introduction In machine learning (ML), maintaining the accuracy and reliability of models in production is a constant challenge. One of the key reasons models degrade over time is data drift. As the world changes, so does the data that ML models rely on, and when the data distribution shifts, it can negatively impact model performance. … Read more

Understanding Data Drift: What It Is and Why It Matters in Machine Learning Introduction In machine learning (ML), models are trained on specific datasets to make predictions, recommendations, or classifications. However, the environment in which these models operate is not static. Over time, the underlying patterns in the data can shift, leading to a phenomenon … Read more