14. Video: Correct Interpretations of Confidence Intervals

Confidence Intervals (& Hypothesis Testing) vs. Machine Learning

Confidence intervals take an aggregate approach towards the conclusions made based on data, as these tests are aimed at understanding population parameters (which are aggregate population values).

Alternatively, machine learning techniques take an individual approach towards making conclusions, as they attempt to predict an outcome for each specific data point.

In the final lessons of this class, you will learn about two of the most fundamental machine learning approaches used in practice: linear and logistic regression.