Springer Recent Trends and Future Challenges in Learning from Data (Studies in Classification, Data Analysis, and Knowledge Organization)

Statistical Models and Methods for Data Science (Studies in Classification, Data Analysis, and Knowledge Organization)

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Springer - Recent Trends in Modelling Continuous Time Series

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Supervised and Unsupervised Statistical Data Analysis (Studies in Classification, Data Analysis, and Knowledge Organization)

Data Visualization: Trends and Challenges Toward Multidisciplinary Perception

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Springer Operations Research and Data Analytics Book

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

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

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

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

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Multi-faceted Deep Learning: Models and Data

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Data Science and Internet of Things: Research and Applications at the Intersection of DS and IoT

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Data Analysis of Medical Studies: Reading and Reporting

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Mathematical Introduction to Data Science

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Data Science and SDGs: Challenges, Opportunities and Realities

Advanced Modeling and Data Challenges

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Springer Practicable Learning Analytics Book - Education

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Feature and Dimensionality Reduction for Clustering with Deep Learning (Unsupervised and Semi-Supervised Learning)

Math for Data Science

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Machine Learning in Biological Sciences: Updates and Future Prospects

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Machine Learning Techniques for Smart City Applications: Trends and Solutions (Advances in Science, Technology & Innovation)

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Data Science: Theory, Algorithms, and Applications (Transactions on Computer Systems and Networks)

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Data Analytics and Decision Support for Cybersecurity: Trends, Methodologies and Applications

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

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An Introduction to Statistical Data Science: Theory and Models

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