Section: Machine Learning 1 | Data mining and machine/deep learning for Geophysics

Section outline

Introduction to machine learning. Characteristics and areas of applicability of AI methodologies. Elements of decision theory. Bias and variance error. Handcrafted feature-based approaches. Preprocessing. Curse of dimensionality and dimensionality reduction. Correlation and confounding features.
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