Principles of Database Management : The Practical Guide to Storing, Managing and Analyzing Big and Small Data
Wilfried (KU Leuven, Belgium) Lemahieu
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Format: Book (Hardback)
The Data Science Design Manual
Professor Steven S. Skiena
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Format: Book (Hardback)
Data Mining for Managers : How to Use Data (Big and Small) to Solve Business Challenges
R. Boire
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Machine Learning
Zhi-Hua, PhD Zhou
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Guide to Software Development : Designing and Managing the Life Cycle
Arthur M. Langer
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Machine Learning for Text
Charu C. Aggarwal
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Format: Book (Hardback)
Machine Learning : The Basics
Alexander Jung
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Algorithmic Intelligence : Towards an Algorithmic Foundation for Artificial Intelligence
Stefan Edelkamp
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R for SAS and SPSS Users
Robert A. Muenchen
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Signal Processing and Machine Learning with Applications
Michael M. Richter
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Scalable Pattern Recognition Algorithms : Applications in Computational Biology and Bioinformatics
Pradipta Maji
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Format: Book (Hardback)
Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Michael R. Berthold
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Format: Book (Hardback)
Automotive Software Architectures : An Introduction
Miroslaw Staron
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Applying Predictive Analytics : Finding Value in Data
Richard V. McCarthy
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Demand Prediction in Retail : A Practical Guide to Leverage Data and Predictive Analytics
Maxime C. Cohen
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Designing Data Spaces : The Ecosystem Approach to Competitive Advantage
Boris Otto
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Format: Book (Hardback)
Personalized Privacy Protection in Big Data
Youyang Qu
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Embedded Software Timing : Methodology, Analysis and Practical Tips with a Focus on Automotive
Peter Gliwa
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Format: Book (Hardback)
Real-Time Systems : Design Principles for Distributed Embedded Applications
Hermann Kopetz
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Format: Book (Hardback)
