Mastering Marketing Data Science : A Comprehensive Guide for Today's Marketers
Iain (University of Southampton, UK) Brown
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Cognitive Analytics and Reinforcement Learning : Theories, Techniques and Applications
Elakkiya (Birla Institute of Technology & Science, Dubai, UAE) R.
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Strategic Value Creation : Design and Execute a Strategy for Breakthrough Returns
Rupert Morrison
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Transition to Advanced Analytics : Get a Return on Your Analytics Investment
Jason Tan
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Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing
Rajesh Kumar Tripathy
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People Analytics : Theory, Tools and Techniques
Pratyush (International Management Institute, Bhubaneswar, I Banerjee
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Information Modeling and Relational Databases
Terry (Professor of Computer Science, INTI International Unive Halpin
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Web Content Mining : Techniques and Applications
Ahmed J. Obaid
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QGIS for Ecologists : An Introduction to Mapping for Ecological Surveys
Stephanie Miles
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Introduction to Supply Chain Analytics : With Examples in AnyLogic and anyLogistix Software
Dmitry Ivanov
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Format: Book (Hardback)
Big Data Analytics : Theory, Techniques, Platforms, and Applications
Umit Demirbaga
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Format: Book (Hardback)
Big Data Management And Analytics
Brij B (Asia University, Taiwan) Gupta
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Format: Book (Hardback)
Data Analytics and Machine Learning : Navigating the Big Data Landscape
Pushpa Singh
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Format: Book (Hardback)
Using Metering to Perform Energy Management : Performing Data Analytics via the Metering System
George “Buster” Barksdale
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Statistics and Data Analysis for Microarrays Using R and Bioconductor
Sorin (Wayne State University, Detroit, Michigan, USA) Draghici
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Quantitative Intelligence Analysis : Applied Analytic Models, Simulations, and Games
Edward Waltz
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Data Visualization : A Practical Introduction
Kieran Healy
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Regulation of Cloud Services Under Us and EU Antitrust, Competition and Privacy Laws
Sara Gabriella Hoffman
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A First Course in Random Matrix Theory : for Physicists, Engineers and Data Scientists
Marc Potters
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Model-Based Clustering and Classification for Data Science : With Applications in R
Charles Bouveyron
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