Machine learningMachine learning

Linearna regresija (ML)

Linearna regresija uspostavlja linearni odnos između jedne ili više ulaznih karakteristika i kontinuiranog numeričkog ishoda minimiziranjem sume kvadriranih grešaka predviđanja. Kao model mašinskog učenja, obučava se na obeleženim primerima i evaluira na zadržanim podacima, što je čini najjednostavnijom baznom linijom nadgledanog učenja za bilo koji regresioni zadatak.

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Izvori

  1. Hastie, T., Tibshirani, R. & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed., Ch. 3). Springer. ISBN: 978-0-387-84858-7
  2. James, G., Witten, D., Hastie, T. & Tibshirani, R. (2013). An Introduction to Statistical Learning (Ch. 3). Springer. ISBN: 978-1-4614-7138-7

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Linear Regression as a Machine Learning Model. ScholarGate. https://scholargate.app/sr/machine-learning/linear-regression-ml

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Citirana u

ScholarGateLinear Regression (ML) (Linear Regression as a Machine Learning Model). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/linear-regression-ml · Skup podataka: https://doi.org/10.5281/zenodo.20539026