Machine Learning for Economics and Finance in TensorFlow 2
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10431
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368 p. , Figures
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Machine learning has taken time to move into the space of academic economics. This is because empirical research in economics is concentrated on the identification of causal relationships in parsimonious statistical models; whereas machine learning is oriented towards prediction and is generally uninterested in either causalty or parsimony. That leaves a gap for students, academics, and professionals who lack a standard reference on machine learning for economics and finance.
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978-1-4842-6372-3