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Dynamic model: Difference between revisions
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Dynamic models in machine learning are like robots that can adjust their mind and behavior based on what they observe and hear. Through learning from errors, dynamic models become better at what they do over time. Different types of dynamic models exist, such as ones based on reinforcement learning or ones using reinforcement programming. | Dynamic models in machine learning are like robots that can adjust their mind and behavior based on what they observe and hear. Through learning from errors, dynamic models become better at what they do over time. Different types of dynamic models exist, such as ones based on reinforcement learning or ones using reinforcement programming. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] | ||