Abstract
Learning is a process of gaining knowledge from experience and adapting the behavior of a system to the encountered environment based on the thus obtained knowledge. Machine learning is commonly concerned with designing computer models of real processes and training these models from large data sets. In applications there is no ideal model but repeated learning, experimentation, and model improvement.
Learning requires to apply logic, knowledge, experience, reasoning, and mathematical methods in order to perceive, model, compute, and adapt to new situations. This chapter discusses the essence of learning, and related concepts from machine learning, artificial intelligence, applied math and science for engineering.
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Richter, M.M., Paul, S., Këpuska, V., Silaghi, M. (2022). General Learning. In: Signal Processing and Machine Learning with Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-45372-9_8
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DOI: https://doi.org/10.1007/978-3-319-45372-9_8
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