This document discusses machine learning concepts including algorithms, data inputs/outputs, runtimes, and trends in academia vs industry. It notes that while academia focuses on algorithm complexity, industry prioritizes data-driven approaches using large datasets. Ensemble methods combining many simple models generally perform better than single complex models. Specific ML techniques discussed i
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