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Revision as of 01:43, 22 February 2023 (view source) Alpha5 (talk \| contribs) (Created page with "===Introduction== Machine learning is an ever-evolving field that utilizes mathematical algorithms and statistical models to empower computer systems to learn from data and make decisions. A dynamic model in machine learning refers to a type of model that can adjust its behavior over time in response to changes in its environment or new information. Dynamic models are especially beneficial in situations where the environment or data being used to train a model are const...")		Revision as of 01:43, 22 February 2023 (view source) Alpha5 (talk \| contribs) No edit summary Newer edit →
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	===Introduction==		==Introduction==
	Machine learning is an ever-evolving field that utilizes mathematical algorithms and statistical models to empower computer systems to learn from data and make decisions. A dynamic model in machine learning refers to a type of model that can adjust its behavior over time in response to changes in its environment or new information.		Machine learning is an ever-evolving field that utilizes mathematical algorithms and statistical models to empower computer systems to learn from data and make decisions. A dynamic model in machine learning refers to a type of model that can adjust its behavior over time in response to changes in its environment or new information.