6.1. Slide_Unit_6_Machine_Learning - Introduction to Multi-criteria Decision Analysis Unit 6 Introduction to Machine Learning for Decision Support

6.1. Slide_Unit_6_Machine_Learning - Introduction to...

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Introduction to Multi-criteria Decision Analysis Unit 6: Introduction to Machine Learning for Decision Support Leonardo Tomazeli Duarte [email protected] School of Applied Sciences (FCA) University of Campinas (UNICAMP)
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Decision systems based on data Machine learning - Unit 6 In many situations, the decision maker disposes of a set of data that was previously collected Example: how to decide to hire someone, based on previous experiences, in order to minimize turnovers? This is a classical problem of machine (statistical) learning 2 Classification System Number of children Salary Age Recommend (or not) hiring
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Decision systems based on data Machine learning - Unit 6 The classification problem: assign classes to a set of samples based on a set of attributes There are two strategies: Supervised classification: a set of training points is available for adjusting the classifier Unsupervised classification: no training points are available (Clustering) 3
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Decision systems based on data Machine learning - Unit 6 Example: classifying types of fish (salmon and sea bass) This is an easy task for the human brains How to do it in an automatic way?
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