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Unsupervised learning

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This method of ML recognizes patterns in a dataset and infers the structure or identifies correlations between data elements. You use unsupervised learning when you want to discover relationships, such as between account activity and fraud or an attack on the system. Table 3-4 lists AI project goals and the appropriate algorithms used for that task.

TABLE 3-4 Unsupervised Learning Algorithms

Goal Algorithm
Organize data in clusters or trees, such as evaluating investments according to volatility or return Hierarchical cluster analysis
Recommend a product or service based on the choices of similar customers Recommendation engine
Optimize delivery routes by identifying proximate destinations K-means clustering
Identify risk of heart disease based on heart sounds Gaussian mixture
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