<P>Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area¿including healthcare, finance, manufacturing, and marketing¿could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science.</P><P>After an overview of security and privacy for big data services a
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<P>Data Science students and practitioners want to find a forecast that "works" and don''t want to be constrained to a single forecasting strategy, <STRONG>Time Series for Data Science: Analysis and Forecasting</STRONG>...
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Drawing upon unique and unprecedented survey data, this book shows how and why Brexit has changed British politics. Recommended reading for anyone wanting to better understand the political reality of Britain in the age of Brexit.
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