Though useful in business applications, neural networks are a rough, inexact model of how the brain works, not a precise replica.
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Q5: In the Coors case study, genetic algorithms
Q6: Using support vector machines, you must normalize
Q7: In the opening vignette, the high accuracy
Q8: Compared to the human brain, artificial neural
Q9: In the Coors case study, a neural
Q11: The network topology that allows only one-way
Q12: The k-nearest neighbor algorithm appears well-suited to
Q13: Unlike other "black box" predictive models, support
Q14: No matter the topology or architecture of
Q15: The most complex problems solved by neural
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