Identify the strengths, weaknesses and caveats of different models and choose the most appropriate model for a given statistical problem. Determine what type of data and problems require supervised vs ...

The world of machine learning is evolving rapidly, and choosing the right framework for training models can significantly ...

Envelope models are a powerful tool in regression analysis, particularly when dealing with high-dimensional data. These models aim to improve estimation efficiency by identifying and utilizing ...

Estimation techniques in linear regression models are crucial for accurately predicting outcomes based on various independent variables. As data complexity increases, particularly with high ...

The course contains five topics, including (1) principles of statistical analysis, including data preparation, statistical models, regression and classification, inference, prediction, and ...