Boris Thurm

EPFL CDM MTE-GE
ODY 3 18 (Odyssea)
Station 5
CH-1015 Lausanne

Office:  ODY 3 18
EPFL > CDM > CDM-MTE > MTE-ENS

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Administrative data

Teaching & PhD

Teaching

Management of Technology

Courses

Statistics and data science

This class provides a hands-on introduction to statistics and data science, with a focus on causal inference and applications to sustainability issues using Python.

Data science and machine learning

This class provides a hands-on introduction to data science and machine learning topics, exploring areas such as regression, classification, clustering, dimensionality reduction, text analytics, and neural networks. The course consists of lectures and coding sessions using the Python language.

Data science and machine learning II

This class discusses advanced data science and machine learning (ML) topics: Recommender Systems, Graph Analytics, and Deep Learning, Big Data, Data Clouds, APIs, Clustering. The course uses the Wolfram Language. Outcome: coding exercises in ML using real-data and a big ML project deliverable.