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 following is a summary of “Clinical subtypes in critically ill patients with sepsis: validation and parsimonious ...

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 ...

The world of machine learning is evolving rapidly, and choosing the right framework for training models can significantly impact the success of your project. With so many options available, deciding ...