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Data science

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Packt Publishing, 2017. — 585 p. — ISBN: 978-1-78728-134-9. A practical guide to implementing your enterprise data lake using Lambda Architecture as the base The term "Data Lake" has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights that can be used by businesses to redefine or transform the way...
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Wiley, 2019. — 247 p. — ISBN: 1119526817. Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R,...
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Manning Publications, 2016. — 458 p. — ISBN: 978-1617292330. Data accumulated about customers, products, and website users can not only help interpret the past, it can help predict the future! Probabilistic programming is a programming paradigm in which code models are used to draw probabilistic inferences from data. By applying specialized algorithms, programs assign degrees...
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