Applied Data Analytics by Johnson I. Agbinya (.PDF)
File Size: 77 MB
Applied Data Analytics – Principles and Applications by Johnson I. Agbinya
Requirements: .PDF reader, 77 MB
Overview: The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications, cyber security data, crime data, telecommunications and stock market data, health records and business analytics data are but a few areas of interest. Applications and platforms including R, RapidMiner and Weka provide the basis for analysis, often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes, or to spot errors.
Genre: Non-Fiction > Tech & Devices
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