Data Art: Creating Artworks from Scientific Data

Related lectures (32)

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

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

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

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.

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

Explores digital transformation opportunities, big data, analytics, and technology innovations in business and research.

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

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

Explores the significance of data models in scientific research and the challenges posed by big data.