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Computer Sciences

Large-scale Machine Learning for Data Science Applications

When:

24 September - 28 September 2018

School:

Int’l Summer School on Data Science

Institution:

Center of Research Excellence for Data Science and Advanced Cooperative Systems

City:

Split

Country:

Croatia

Language:

English

Credits:

0.0 EC

Fee:

300 EUR

Interested?
Please note: this course has already ended
Large-scale Machine Learning for Data Science Applications

About

The third edition of the school is organized following the successful first two editions. SSDS 2018 is a summer school offered to graduate students, researchers and professionals in the area of data science. The topic of SSDS 2018 is large-scale machine learning. The program consists of lectures taught by outstanding researchers in the field. SSDS 2018 will concentrate on machine learning in data science applications. The lecturers will present fundamental and advanced concepts. The program includes hands-on sessions, demonstrating practical aspects. SSDS 2018 program will include a poster session giving participants an opportunity to present and discuss their research results.

Course leader

General Co-Chairs: Sven Lončarić, University of Zagreb, Croatia Tomislav Šmuc, Rudjer Bošković Institute, Zagreb, Croatia

Target group

The audience will include doctoral students and postdocs and researchers and developers working in academia and industry.

Course aim

SSDS 2018 will concentrate on large-scale machine learning for data science applications. The lecturers will present fundamental and advanced concepts. The program includes hands-on sessions, demonstrating practical aspects and giving the audience good start in further practical usage.

Fee info

Fee

300 EUR, Doctoral student

Fee

650 EUR, Professionals from industry

Interested?

When:

24 September - 28 September 2018

School:

Int’l Summer School on Data Science

Institution:

Center of Research Excellence for Data Science and Advanced Cooperative Systems

Language:

English

Credits:

0.0 EC

Visit school

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