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Too big to ignore [electronic resource] the business case for big data / Phil Simon. by Series: Wiley & SAS business series
Publication details: Hoboken, N.J. : John Wiley & Sons, c2013
Availability: Items available for reference: Strathmore University (Main Library): Not for loan (1).
Statistical and machine-learning data mining : techniques for better predictive modeling and analysis of big data / Bruce Ratner. by
Edition: Third Edition.
Availability: Items available for reference: Strathmore University (Main Library): Not for loan (1)Call number: HF5415.126.R38 2017.
Practical statistics for data scientists : 50+ Essential Concepts Using R and Python / Peter Bruce and Andrew Bruce. by
Edition: second edition.
Availability: Items available for reference: Strathmore University (Main Library): Not for loan (1)Call number: QA276.4.B78 2020.
Practical text analytics : interpreting text and unstructured data for business intelligence / Steven Struhl. by Series: Marketing science
Online resources:
Availability: Items available for reference: Strathmore University (Main Library): Not for loan (1)Call number: HF5415.125 .S77 2015.
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