Winning with Data Science : A Handbook for Business Leaders
Howard Steven Friedman
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Architecture Modernization
Nick Tune
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Autonomous Transformation : Creating a More Human Future in the Era of Artificial Intelligence
Brian Evergreen
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An Introduction to R and Python for Data Analysis : A Side-By-Side Approach
Taylor R. (University of Virginia) Brown
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A Practical Guide to Data Analysis Using R : An Example-Based Approach
John H. (Statistics Research Associates, Wellington, New Z Maindonald
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Bayesian Social Science Statistics : From the Very Beginning
Jeff (American University) Gill
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Knowledge Discovery from Archaeological Materials
Pedro A. (Escuela Nacional de Antropologia e Historia) Lopez Garcia
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Adaptive Filtering Under Minimum Mean p-Power Error Criterion
Wentao (Xi'an University, China) Ma
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Multilevel Modeling Using R
W. Holmes (Ball State University, USA) Finch
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Principles of Psychological Assessment : With Applied Examples in R
Isaac T. Petersen
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Practical Machine Learning with R : Tutorials and Case Studies
Carsten (Professor of Economics, Cal Poly Pomona, USA.) Lange
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Learn R : As a Language
Pedro J. (University of Helsinki, Faculty of Biological and En Aphalo
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Transition to Advanced Analytics : Get a Return on Your Analytics Investment
Jason Tan
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Data Science : A First Introduction with Python
Tiffany (University of British Columbia) Timbers
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Probability Theory : An Introduction Using R
Shailaja R. (Savitribai Phule Pune University, India) Deshmukh
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IBM SPSS Statistics 29 Step by Step : A Simple Guide and Reference
Darren George
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Simulation and Statistics with Excel : An Introduction to Business Students
Luis Fernando (UNET Tachira University, Venezuela) Ibarra
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5G NR Modelling in MATLAB : Network Architecture, Protocols, and Physical Layer
Tulsi Pawan (University of Mauritius, Mauritius.) Fowdur
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