The Conference for Machine Learning Innovation

Özge Sahin

Özge Sahin
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Register until February 27:
✓Save up to $220
✓10% team discount
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Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
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Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now

Özge Sahin

SciScry

Özge is currently doing her doctorate in Mathematical Statistics at the Technical University of Munich (TUM). Her main research area is statistical learning with vine copulas. That’s the study of dependence analysis for clustering and classification algorithms. She studied formerly Industrial Engineering, specialized in System Dynamics, at Boğaziçi University, where the focus was to model causation relations. Later we studied Mathematics at the TUM and worked as a data scientist at SciScry, where she focused on developing machine learning and statistical models for forecasting and general data science applications.

This Speaker belongs to the Dieser Speaker gehört zum Programm vom MunichMunich and  und BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

Take me to the full program of Zum vollständigen Programm von Munich Munich .

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This Speaker Dieser Speaker belongs to the gehört zum Programm von MunichMunich and  und BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Munich Munich or oder Berlin Berlin .

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