DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Machine-learning involving different techniques
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The learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned
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Learning by generalizing from examples
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None of these
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Detailed explanation-1: -Definition. Incremental learning is a machine learning paradigm where the learning process takes place whenever new example(s) emerge and adjusts what has been learned according to the new example(s).
Detailed explanation-2: -Incremental learning algorithms are flexible, efficient, and adaptive. The following characteristics distinguish incremental learning from traditional machine learning: An incremental model is fit to data quickly and efficiently, which means it can adapt, in real time, to changes (or drifts) in the data distribution.
Detailed explanation-3: -Class-Incremental Learning (CIL) aims to learn a classification model with the number of classes increasing phase-by-phase.
Detailed explanation-4: -Incremental approach means processing knowledge in small bits and in small steps. gradually converting the learning materials into lasting knowledge in your memory.