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 ...

We thought we were using large language models (LLMs) to their great potential. When I checked with my dead counterpart, they said they are using LLMs for Translation, Question Answering, Text ...

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

and evaluation of statistical models used for prediction and classification. Topics include data pre-processing, over-fitting and model tuning, linear and nonlinear regression models and linear and ...