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AutoML’s ability to detect patterns and predict can out-perform algebraic formulas and Boolean logic in common tasks. Anyone who has written a formula in Excel or adjusted parameters in an online application knows how even the smallest change can produce dramatically

Parameters are functions of training data. Hyperparameters are settings used to tune model algorithm performance. In Automated Machine Learning (AutoML), data sets containing known outcomes are used to train models to make predictions. The actual values in training data sets

Bias occurs when ML does not separate the true signal from the noise in training data. Biases in AI systems make headlines for results such as favoring gender in hiring, recommending loans based on ethnicity, or recognizing faces differently based on race.