Statistical and Machine-Learning Data Mining: : Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition
Bruce (DM STAT-1 Consulting, New York, New York, USA) Ratner
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Frontiers in Data Science
Matthias (UMIT, Hall in Tirol, Austria) Dehmer
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Computational Trust Models and Machine Learning
Xin (Ecole Polytechnique Federale de Lausanne, Switzerland) Liu
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Kernel Methods and Machine Learning
S. Y. (Princeton University, New Jersey) Kung
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Artificial Superintelligence : A Futuristic Approach
Roman V. (University of Louisville, Kentucky, USA) Yampolskiy
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Handbook of Research on Machine Learning Innovations and Trends
Aboul Ella Hassanien
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Deep Learning Innovations and Their Convergence With Big Data
S. Karthik
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Deep Learning Innovations and Their Convergence With Big Data
S. Karthik
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Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications
Ming Zhang
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Thinking Machines and the Philosophy of Computer Science: Concepts and Principles
Jordi Vallverdu
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Qualitative Spatio-Temporal Representation and Reasoning: Trends and Future Directions
Shyamanta M. Hazarika
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Handbook of Research on Knowledge-Intensive Organizations
Dariusz Jemielniak
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Machine Learning : A Physicist Perspective
Nelson Bolivar
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The Handbook of Information Systems Research
Michael Whitman
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Virtual Teams: Projects, Protocols and Processes
David Pauleen
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Adaptable and Adaptive Hypermedia Systems
Sherry Y. Chen
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Agent Systems in Electronic Business
Eldon Y. Li
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Knowledge-Based Urban Development: Planning and Applications in the Information Era
Tan Yigitcanlar
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Feature Engineering Made Easy
Sinan Ozdemir
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Hands-On Machine Learning on Google Cloud Platform
Giuseppe Ciaburro
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TensorFlow Deep Learning Projects
Luca Massaron
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Mastering Machine Learning Algorithms
Giuseppe Bonaccorso
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