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The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman. by Series: Springer series in statistics
Edition: 2nd ed.
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: New York, NY : Springer, c2009
Availability: Items available for loan: MES KC LIBRARY (1)Call number: 006.31 HAS/E.

Data mining : concepts and techniques / Jiawei Han, Micheline Kamber, Jian Pei. by
Edition: 3rd ed.
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: Burlington, MA : Elsevier, c2012
Availability: Items available for loan: MES KC LIBRARY (1)Call number: 006.312 HAN/D.

Data mining and analysis : fundamental concepts and algorithms / Mohammed J. Zaki, Rensselaer Polytechnic Institute, Troy, New York, Wagner Meira, Jr., Universidade Federal de Minas Gerais, Brazil. by
Material type: Text Text; Format: print ; Literary form: Not fiction
Publisher: New York, NY : Cambridge University Press, 2014
Availability: Items available for loan: MES KC LIBRARY (1)Call number: 006.312 ZAK/D.

Doing data science / Rachel Schutt and Cathy O'Neil. by
Edition: First edition.
Material type: Text Text; Format: print ; Literary form: Not fiction
Publisher: Beijing ; Sebastopol : O'Reilly Media, 2013
Availability: Items available for loan: MES KC LIBRARY (1)Call number: 006.3 SCH/D.

Python for data analysis / Wes McKinney. by
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: Beijing : O'Reilly, c2013
Availability: Items available for loan: MES KC LIBRARY (1)Call number: 005.133 MCK/P.

Introduction to data mining / Pang-Ning Tan, Michigan State University, Michael Steinbach, University of Minnesota, Anuj Karpatne, University of Minnesota, Vipin Kumar, University of Minnesota. by
Edition: Second edition.
Material type: Text Text; Format: print ; Literary form: Not fiction
Publisher: NY NY : Pearson, [2019]
Availability: Items available for loan: MES KC LIBRARY (3)Call number: 006.312 TAN/I, ...

Big data fundamentals : concepts, drivers & techniques / Thomas Erl, Wajid Khattak, and Paul Buhler. by Series: Prentice Hall service technology series from Thomas Erl
Material type: Text Text; Format: print ; Literary form: Not fiction
Publisher: Boston : [Vancouver, BC] : Prentice Hall ; Service Tech Press, [2016]Copyright date: ©2016
Availability: Items available for loan: MES KC LIBRARY (3)Call number: 006.312 ERI/B, ...

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