Michelin Senior Data Scientist Interview Questions and Answers

Data drift is the concept of data changing over time, affecting the performance of machine learning models. Model lifecycle management involves monitoring and updating models to maintain accuracy.

• Data drift refers to the phenomenon where the statistical properties of the target variable change over time, leading to a decrease in model performance.

• Examples of data drift include changes in customer behavior, shifts in ma...read more