Visualization (graphics)

Related lectures (32)

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

Explores the workflow in Digital Humanities, emphasizing data collection and visualization.

Explores the use of visual extensions, such as virtual reality and augmented reality, in enhancing workplace efficiency and communication.

Introduces numerical optimization with Scipy, covering zero finding, problem dimensionality, derivatives, and advanced visualization techniques.

Explores techniques and applications of data visualization, emphasizing the importance of effective communication and unconventional examples.

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

Explores data visualization principles, including chart navigation, histograms, scatter plots, box plots, and color usage.

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

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

Covers collaborative data science tools, big data concepts, Spark, and data stream processing, with tips for the final project.