Negar Kiyavash

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negar.kiyavash@epfl.ch +41 21 693 02 59 https://sites.google.com/site/negarkiyavash/

EPFL CDM MTEI BAN
ODY 1 01.1 (Odyssea)
Station 5
CH-1015 Lausanne

+41 21 693 02 59
+41 21 693 26 23
Office:  ODY 1 01.1
EPFL > CDM > MTEI > BAN

Web site:  Web site:  https://www.epfl.ch/labs/ban/

+41 21 693 02 59
EPFL > CDM > CDM-MTE > MTE-ENS

+41 21 693 02 59
EPFL > VPA > VPA-FAC > OSSC

+41 21 693 02 59
EPFL > CDM > CDM-DIR > CF-CDM

Web site:  Web site:  https://www.epfl.ch/schools/cdm/

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Administrative data

Teaching & PhD

Teaching

Management of Technology

PhD Programs

PhD Students

Aboueimehrizi Amir Mohammad, Akbari Sina, Elahi Sepehr, Jamshidi Fateme, Khorasani Mohammadsadegh, Kivva Yaroslav, Masiha Mohammadsaeed, Mokhtarian Ehsan, Shahverdikondori Mohammad,

Courses

Data driven business analytics

This course focuses on on methods and algorithms needed to apply machine learning with an emphasis on applications in business analytics.

Statistical inference and machine learning

This course aims to provide graduate students a thorough grounding in the methods, theory, mathematics and algorithms needed to do research and applications in machine learning. The course covers topics from machine learning, classical statistics, and data mining.