EPFL Campus Overview

Related lectures (31)

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Covers EPFL's Computer Science School, faculty expertise, EDIC program requirements, and post-PhD career paths.

Gives an overview of EPFL's School of Computer and Communication Sciences, highlighting its top-ranked faculty and research areas.

Explores intelligence, perception, and AI applications in autonomous vehicles, emphasizing rational thinking and social intelligence.

Explores server evaluation, security, programming concepts, and encryption efforts by companies like Google.

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Introduces computing basics, from logic gates to databases, emphasizing data integrity.

Covers the fundamentals of machine learning for physicists and chemists, focusing on image classification tasks using artificial intelligence.

Explores the challenges and insights of deep learning, focusing on loss landscape, generalization, and feature learning.

Covers the basics of machine learning for physicists and chemists, focusing on image classification and dataset labeling.