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Making Maps from Spatial Data.

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Provides a background in data science fundamentals and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there—let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

Data Science For Dummies

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