Extracting required information from documents is a common task in may research areas such as Human-Computer Interaction (HCI), Psychology, Sociology, Law, and Business. For example, in a study to understand […]
The goal of this project is to understand how analysts make sense of data using data visualisation and/or machine learning. ‘Sensemaking’ is a bit broader than what is usually known […]
Hyperparameters are important to the performance of machine learning models. However, some models have many parameters and each parameter has many possible values, if not infinite. As a result, finding […]
Extracting required information from documents is a common task in may research areas such as Human-Computer Interaction (HCI), Psychology, Sociology, Law, and Business. For example, in a study to understand […]
The goal of this project is to understand how analysts make sense of data using data visualisation and/or machine learning. ‘Sensemaking’ is a bit broader than what is usually known […]
Hyperparameters are important to the performance of machine learning models. However, some models have many parameters and each parameter has many possible values, if not infinite. As a result, finding […]