Introduces applied machine learning concepts such as data collection, feature engineering, model selection, and performance evaluation metrics.
Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.
Presents a project description for building educational chatbots using ChatGPT-like models, outlining stages, policies, and data sharing for research purposes.
Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.
Explores EW-MFA at a canton level, covering data collection, import/export, emissions, waste management, and resources productivity.
