Summary • Algorithms built from data can be used for classification and prediction in technological applications. • It is important to guard against over-fitting an algorithm to training data, essentially fitting to noise rather than signal. • Algorithms can be evaluated by the classification accuracy, their ability to discriminate between groups, and their overall predictive accuracy. • Complex algorithms may lack transparency, and it may be worth trading off some accuracy for comprehension. • The use of algorithms and artificial intelligence presents many challenges, and insights into both
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