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SUMMARY:Jacek Gulgowski
DTSTART:20260223T113000Z
DTEND:20260223T133000Z
DTSTAMP:20260423T024650Z
UID:BNAT/15
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BNAT/15/">Mo
 ving Beyond Linearity</a>\nby Jacek Gulgowski as part of Basic Notions and
  Applied Topology Seminar\n\nLecture held in Room 1 at the IMPAS\, Room 1.
 14 at the Institute of Informatics (University of Gdańsk).\n\nAbstract\nT
 his talk introduces key techniques for modeling nonlinear relationships in
  supervised learning. We begin by examining polynomial regression and step
  functions\, then develop more flexible approaches using basis functions a
 nd splines\, including cubic splines and smoothing splines\, to capture co
 mplex structure in data. The seminar also covers Generalized Additive Mode
 ls (GAMs)\, which extend linear models by allowing nonlinear functions of 
 predictors while retaining interpretability.\n
LOCATION:https://researchseminars.org/talk/BNAT/15/
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