Krahasoni metodat

	Regresioni Linear Online	Mësimi Online
Fusha	Mësimi i makinës	Mësimi i makinës
Familja	Machine learning	Machine learning
Viti i origjinës	1960 (LMS); 1950 (RLS formalization)	1958–2000s
Krijuesi	Widrow, B. & Hoff, M. E. (LMS); Gauss / Plackett (RLS)	Rosenblatt, F.; Littlestone, N.; Shalev-Shwartz, S. (key contributors)
Lloji	Incremental supervised regression	Learning paradigm (sequential model update)
Burimi themelues	Shalev-Shwartz, S. (2012). Online Learning and Online Convex Optimization. Foundations and Trends in Machine Learning, 4(2), 107–194.	Shalev-Shwartz, S. (2011). Online Learning and Online Convex Optimization. Foundations and Trends in Machine Learning, 4(2), 107–194.
Emërtime të tjera	incremental linear regression, streaming linear regression, recursive least squares regression, stochastic gradient descent regression	incremental learning, sequential learning, streaming learning, online machine learning
Të lidhura	6	6
Përmbledhja	Online Linear Regression fits a linear model one observation at a time, updating weights incrementally as each new data point arrives. Unlike batch least-squares, it never needs to store or re-process the full dataset, making it the natural choice for streaming data, very large datasets, and environments where the data-generating process can shift over time.	Online learning is a machine learning paradigm in which a model is updated incrementally as each new data point arrives, rather than being trained once on a fixed dataset. It is essential when data streams continuously, storage is limited, or the underlying distribution shifts over time. Theoretical performance is measured by cumulative regret relative to the best fixed predictor in hindsight.