Summer School 2021 - Introduction to Statistical Machine Learning
September 06 - 09, 2021, Online event
The 2021 joint Summer School of the BINARY and EAI Project will feature an introduction to statistical machine learning techniques. The target audience are graduate / PhD students and researchers who are still beginners in machine learning and Bayesian data analysis.
|14:15 - 15:45||Intro,|
|Deep Learning||The Small Data
|15:45 - 16:15||Discussion &|
|16:15 - 17:45||Information Theory,|
|The Small Data
|17:45 - 18:15||Discussion &|
Lecturers & Tutors
Steffen Albrecht, Susanne Gerber, Illia Horenko, Stanislav Sys, Michael Wand, Stephan Weißbach
Basic mathematics (statistics, calculus, linear algebra), python programming (tutorials).
The School is open to all JGU researchers and collaborators.
To register, please send an email to Cosima Caliendo at firstname.lastname@example.org until August 22, 2021.
The school will be held virtually on MS-Teams. Within JGU-Teams you can join via "discover new Teams" with access code "avbdbck".