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This course will introduce open source tools used for parallel, distributed and scalable machine learning. After completing this course’s hands-on projects with KNIME and...
This course explores that dynamic programming is a powerful algorithmic tool when comparing two genes (i.e., short sequences of DNA) or two proteins. When "zooming out" to...
This course will teach how to design experiments that compare design alternatives, techniques for running experiments, and how to analyze data from these experiments. This...
This course gives a broad overview of the field of graph analytics to learn new ways to model, store, retrieve and analyze graph-structured data.
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