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Foundations of Mathematical Modelling for Engineering Problem Solving (Studies in Autonomic, Data-driven and Industrial Computing)

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Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

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Foundations of Mathematical Modelling for Engineering Problem Solving (Studies in Autonomic, Data-driven and Industrial Computing)

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Data-Driven Industrial Artificial Intelligence: Methods and Applications

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Computing for Data Analysis: Theory and Practices (Data-Intensive Research)

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Mathematical Learning and Cognition in Early Childhood: Integrating Interdisciplinary Research into Practice

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Mathematical Introduction to Data Science

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A Journey Through Discrete Mathematics: A Tribute to Jiří Matoušek

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Data Driven Model Learning for Engineers: With Applications to Univariate Time Series

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Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications

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