Delves into data science in personalized and global health, emphasizing privacy-enhancing technologies and AI applications in healthcare.
Covers the fundamentals of data science, the scientific method evolution, the role of a data scientist, and the significance of data as the new oil.
Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.
Explores intellectual property rights, data protection principles, and compliance with data protection laws.
Explores the ROC curve, True Positive Rate, False Positive Rate, and prediction probabilities in classification models.
Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Explains harmonic functions and their boundary conditions, including Dirichlet and Robin conditions.
Covers the fundamentals of data science, emphasizing breadth over depth and practical application in machine learning and data analysis.
Explores clustering in high-dimensional space, covering methods like hierarchical clustering, K-means, and DBSCAN.
