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Erschienen in:
2020 | OriginalPaper | Buchkapitel
7. Artificial Intelligence
verfasst von : Klaus-Dieter Gronwald
Erschienen in: Integrated Business Information Systems
Verlag: Springer Berlin Heidelberg
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Abstract
Machine learning and deep learning as artificial intelligence methods use algorithms to learn from data to make predictions, not from programming. Big data are the enablers and the backbone for any artificial intelligence application. The data quality with outlier and noise detection becomes of significant importance. Machine learning and deep learning have become distinguishable and separable methods with own tools and algorithms. Basic algorithms for regression and classification in machine learning, as well as single and multilayer neural networks for deep learning are developed as basis for the machine learning game in Sect. 9.11 and the online manufacture course as explained in Sect. 8.3.