Advanced Data Stream Processing Concepts

Related lectures (32)

Page 3 of 4

Explores the analysis of velocity data in biomechanics using Excel for visualization and interpretation.

Covers unsupervised learning, focusing on dimensionality reduction and clustering, explaining how it helps find patterns in data without labels.

Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.

Explores EPFL's doctoral theses history, data visualization, and the innovative D3 approach.

Explores PCA and t-SNE for reducing dimensions and visualizing high-dimensional data effectively.

Explores car data analysis in Python using the ICC workspace and covers reading, processing, and analyzing car information.

Explores data preparation for machine learning, emphasizing categorical to numerical conversion and effective data visualization techniques.

Covers the basics of Matplotlib for 2D graphic representation in Python, including plotting data and visualizing functions.

Delves into data physicalization, expressiveness, feminist visualization, and the balance between exploration and explanation in data visualization.

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