Cours

CS-401: Applied data analysis

Résumé

This course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of common software tools from the data science world (pandas, scikit-learn, etc.)

Séances de cours

Enseignant·e

Robert West

Robert West is a tenure-track assistant professor of computer science at EPFL, where he heads the Data Science Lab. In his research, he develops and applies techniques in machine learning, computational social science, natural language processing, social network analysis, and data mining. Bob also collaborates closely with the Wikimedia Foundation, in his role as a Wikimedia Research Fellow. Bob’s work has won several awards, including best/outstanding paper awards at ICWSM’21, ICWSM’19, and WWW’13, a best-paper runner-up award at WWW’16, a Google Faculty Research Award, a Facebook Research Award, a Hewlett-Packard Graduate Fellowship, and a Facebook Graduate Fellowship. He is actively involved in the research community, e.g., as an Associate Editor of ICWSM and EPJ Data Science and as a co-founder of the Wiki Workshop (held at WWW and ICWSM) and the Applied Machine Learning Days. Bob received his PhD in Computer Science from Stanford University, his MSc from McGill University, Canada, and his undergraduate degree from Technische Universität München, Germany.[Last updated: 25 Aug 2021]

Source officielle

https://edu.epfl.ch/coursebook/fr/applied-data-analysis-CS-401

Page Moodle

http://go.epfl.ch/CS-401

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Résumé

Séances de cours

Enseignant·e

Robert West

Source officielle

https://edu.epfl.ch/coursebook/fr/applied-data-analysis-CS-401

Page Moodle

http://go.epfl.ch/CS-401

Séances de ce cours (80)

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