Dynamical ML is machine learning that can adapt to variations over time; it requires “real-time recursive” learning algorithms and time-varying data models such as the ones described in the blog, Generalized Dynamical Machine Learning. Continuous learning using DYNAMICAL machine learning is ready for implementation today; it adds the following FOUR benefits: 1. Learning in real-time: Just…
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