In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on … See more In statistical learning models, the training sample $${\displaystyle (x_{i},y_{i})}$$ are assumed to have been drawn from the true distribution $${\displaystyle p(x,y)}$$ and the objective is to minimize the expected "risk" See more Continual learning means constantly improving the learned model by processing continuous streams of information. Continual learning capabilities are essential for … See more • Vowpal Wabbit: Open-source fast out-of-core online learning system which is notable for supporting a number of machine learning reductions, importance weighting and a selection of different loss functions and optimisation algorithms. It uses the See more The paradigm of online learning has different interpretations depending on the choice of the learning model, each of which has distinct implications about the predictive quality of … See more Learning paradigms • Incremental learning • Lazy learning • Offline learning, the opposite model See more • 6.883: Online Methods in Machine Learning: Theory and Applications. Alexander Rakhlin. MIT See more
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