Super-vision: Celebrating EPFL's Doctoral Theses History

Related lectures (31)

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Covers Principal Component Analysis for dimension reduction in biological data, focusing on visualization and pattern identification.

Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.

Covers the analysis of ECG heart rate data and respiratory flow measurements using Excel.

Explores data visualization techniques, design impact, and interactive applications for effective information communication.

Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.

Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.

Covers data visualization techniques, tools, and concepts for effective data representation.

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Covers best practices and guidelines for big data, including data lakes, typical architecture, challenges, and technologies used to address them.

Covers the analysis of respiratory figures and ECG heart rate data.