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Data mining

Educational materials

Proceedings of conferences, symposiums, congresses, scientific papers collections

Software

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Wiley, 2013. — 432 p. Data science gets thrown around in the press like it’s magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. Seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. And in Data Smart, MailChimp's Chief Scientist, John Foreman,...
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Packt Publishing, 2017. — 210 p. — ISBN: 978-1787284586. Build strong foundation of machine learning algorithms In 7 days. Machine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized...
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Packt Publishing, 2018. — 316 p. — ISBN: 1787287602. Only code files! A perfect guide to speed up the predicting power of Machine Learning Algorithms Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective....
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