Meta Research Scientist Intern Interview Questions and Answers

Understanding outliers, missing values, overfitting, and underfitting in data science.

• Outliers are data points that significantly differ from other data points in a dataset.

• Missing values are data points that are not present in a dataset.

• Overfitting occurs when a model learns noise in the training data rather than the underlying pattern.

• Underfitting occurs when a model is too simple to capture the underlying pattern in...read more