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The course introduces students to clustering - one of the most high-impact and widely- used machine learning tool. Students will learn the use of clustering for automatically discovering structure in data, like uncovering groups of similar customers or products. In this course, students also learn about the methods and techniques for dimensionality reduction - which is used to improve the performance and execution speed of machine learning systems by reducing the number of attributes for processing. Students will obtain knowledge of approaches, techniques, and tools for implementing clustering and dimensionality reduction for achieving real-world objectives.
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