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SUMMARY:Jacek Gulgowski
DTSTART:20260119T113000Z
DTEND:20260119T133000Z
DTSTAMP:20260423T024555Z
UID:BNAT/11
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BNAT/11/">Li
 near Model Selection and Regularization (Part 2)</a>\nby Jacek Gulgowski a
 s part of Basic Notions and Applied Topology Seminar\n\nLecture held in Ro
 om 1 at the IMPAS\, Room 1.14 at the Institute of Informatics (University 
 of Gdańsk).\n\nAbstract\nIn the second session\, we turn to Regularizatio
 n Methods\, focusing on ridge regression and the lasso. We'll examine how 
 these techniques use penalty terms to control model flexibility\, reduce o
 verfitting\, and enhance prediction accuracy\, with hands-on Python exampl
 es illustrating their practical differences and applications.\n
LOCATION:https://researchseminars.org/talk/BNAT/11/
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