EW-MFA at a canton levelExplores EW-MFA at a canton level, covering data collection, import/export, emissions, waste management, and resources productivity.
Machine Learning Teaching PanoramaExplores the machine learning teaching panorama at EPFL, including course coordination, data collection initiatives, and ethics integration.
Data Collection and PreparationDiscusses the significance of data collection and preparation for classification, including labeling challenges and crowdsourcing methods.
Machine Learning and PrivacyDelves into machine learning's impact on privacy, discussing attacks, vulnerabilities, and ethical considerations in data usage.
Machine Learning BasicsIntroduces machine learning basics, including data collection, model evaluation, and feature normalization.
