Lectures related to Collecting Health Data: The Bus santé Cohort

Discusses the significance of data collection and preparation for classification, including labeling challenges and crowdsourcing methods.

Delves into machine learning's impact on privacy, discussing attacks, vulnerabilities, and ethical considerations in data usage.

Explores privacy risks in data publishing, failed de-identification attempts, and the use of synthetic data for privacy protection.

Provides an overview of deep learning concepts, focusing on data, model architecture, and challenges in handling large datasets.

Explores urban sustainability assessment, emphasizing the importance of spatial scale and system boundaries in urban areas.