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Machine learning algorithms and theories. Best practices for implementing real systems. Supvervised methods to include decision tree and support vector machine. Unsupervised methods to include clustering and dimensionality reducton and applicatons in classification, data analysis, regression, and visualization. At SDSU with X. LIU
LeoTheNeopyte/CS596
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Machine learning algorithms and theories. Best practices for implementing real systems. Supvervised methods to include decision tree and support vector machine. Unsupervised methods to include clustering and dimensionality reducton and applicatons in classification, data analysis, regression, and visualization. At SDSU with X. LIU
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