representation learning

Jan 28 2023

Misconceptions on non-temporal learning: When do machine learning models qualify as prediction systems?

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Preamble    Babylonian Tablet for square root of 2. (Wikipedia)Prediction implies a mechanics, as in knowing a form of a trajectory over time.  Strictly speaking a predictive system implies knowing a solution to the path, set of variable depending on time, time evolution of the system under...

machine learning causality applied mathematics deep learning supervised learning dynamical systems reinforcement learning interpretable machine learning representation learning

Jun 20 2022

Empirical risk minimization is not learning : A mathematical definition of learning and re-understanding of overfitting and Occam's razor in machine learning

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Simionescu Function (Wikipedia)PreambleThe holy grail of machine learning appears to be the empirical risk minimisation. However, on the contrary to general dogma,  the primary objective of machine learning is not risk minimisation per se but mimicking human or animal learning. Empirical risk...

risk machine learning deep learning supervised learning overfitting occam representation learning optimization empirical risk minimisation