Generative AI: EPFL Project

Related lectures (30)

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

Showcases Haeeun Kim's internship experience in enhancing researchers' data cleaning and organizing processes.

Introduces the Critical Data Studies course, covering data models, trust, reproducibility, biases, and ethics.

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

Explores neural networks, activation functions, backpropagation, and PyTorch implementation.

Delves into machine learning, data insights, and commercial value in the digital world.

Emphasizes the importance of data preparedness in disaster response and explores strategies for addressing information gaps and overloads.

Explores EW-MFA at a canton level, covering data collection, import/export, emissions, waste management, and resources productivity.

Covers linear regression training to find the best line for given data points, essential for predicting house prices.