The Data Science Design Manual
Professor Steven S. Skiena
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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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Machine Learning : The Basics
Alexander Jung
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Volunteered Geographic Information : Interpretation, Visualization and Social Context
Dirk Burghardt
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Intelligent Digital Ecosystems : How Rethinking Technology Will Expand Your Mind And Change Your World
Janak Alford
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Classification Functions for Machine Learning and Data Mining
Tsutomu Sasao
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Representation Learning for Natural Language Processing
Zhiyuan Liu
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Entity Alignment : Concepts, Recent Advances and Novel Approaches
Xiang Zhao
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Advances in Expert Systems and Artificial Intelligence for Management : Evaluation and Value in Knowledge-based Systems v. 2
William A. Wallace
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Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems
Paulo Carreira
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Agent-Based Technology: Functions and Applied Principles
Ike Gibbs
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Recurrent Neural Networks : From Simple to Gated Architectures
Fathi M. Salem
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Designing Data Spaces : The Ecosystem Approach to Competitive Advantage
Boris Otto
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Social Vulnerability to COVID-19 : Impacts of Technology Adoption and Information Behavior
Xiaojun Yuan
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The Beginner's Guide to Data Science
Robert Ball
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Real-Time Systems : Design Principles for Distributed Embedded Applications
Hermann Kopetz
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European Language Grid : A Language Technology Platform for Multilingual Europe
Georg Rehm
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£37.09
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High-Performance Computing on the Intel (R) Xeon Phi (TM) : How to Fully Exploit MIC Architectures
Endong Wang
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