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Foundations of Data Science
Foundations of Data Science
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Statistical Foundations of Data Science (Chapman & Hall/CRC Data Science Series)
Statistical Foundations of Data Science (Chapman & Hall/CRC Data Science Series)
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Data Science in Context: Foundations, Challenges, Opportunities
Data Science in Context: Foundations, Challenges, Opportunities
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Mathematical Foundations of Data Science (Texts in Computer Science)
Mathematical Foundations of Data Science (Texts in Computer Science)
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Data Science Foundations: Navigating digital insight
Data Science Foundations: Navigating digital insight
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Mathematical Foundations of Data Science Using R (De Gruyter STEM)
Mathematical Foundations of Data Science Using R (De Gruyter STEM)
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Foundations of Data Science for Engineering Problem Solving: 94 (Studies in Big Data, 94)
Foundations of Data Science for Engineering Problem Solving: 94 (Studies in Big Data, 94)
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Data Science: Foundations and Applications: 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, ... (Lecture Notes in Computer Science, 15875)
Data Science: Foundations and Applications: 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, ... (Lecture Notes in Computer Science, 15875)
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Data Science: Foundations and Applications: 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, ... (Lecture Notes in Computer Science, 15876)
Data Science: Foundations and Applications: 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, ... (Lecture Notes in Computer Science, 15876)
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Muscle University: Research Foundations in Exercise Science: A Scientific Approach to Study Design, Data Collection, and Laboratory Methods
Muscle University: Research Foundations in Exercise Science: A Scientific Approach to Study Design, Data Collection, and Laboratory Methods
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Foundations of Applied Mathematics for Engineering and Data Science
Foundations of Applied Mathematics for Engineering and Data Science
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Foundations of Data Science and Statistics: Analytics Made Simple
Foundations of Data Science and Statistics: Analytics Made Simple
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Applied Data Science Foundations: Master ML, Time-Series, Vision, Recommender Systems and More in 12 Weeks (ML & AI Professional Education)
Applied Data Science Foundations: Master ML, Time-Series, Vision, Recommender Systems and More in 12 Weeks (ML & AI Professional Education)
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Foundations of Data Science: From Theory to Practice (The Complete Data Science Series)
Foundations of Data Science: From Theory to Practice (The Complete Data Science Series)
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Muscle University: Research Foundations in Exercise Science: A Scientific Approach to Study Design, Data Collection, and Laboratory Methods
Muscle University: Research Foundations in Exercise Science: A Scientific Approach to Study Design, Data Collection, and Laboratory Methods
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Engineering and Management of Data Science, Analytics, and AI/ML Projects: Foundations, Models, Frameworks, Architectures, Standards, Processes, ... (Intelligent Systems Reference Library, 282)
Engineering and Management of Data Science, Analytics, and AI/ML Projects: Foundations, Models, Frameworks, Architectures, Standards, Processes, ... (Intelligent Systems Reference Library, 282)
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Computational Optimal Transport: With Applications to Data Science: 37 (Foundations and Trends® in Machine Learning)
Computational Optimal Transport: With Applications to Data Science: 37 (Foundations and Trends® in Machine Learning)
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Foundations of Statistics for Data Scientists
Foundations of Statistics for Data Scientists
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Fundamentals of Statistical Inference: Foundations of Data Analysis (International Series in Operations Research & Management Science, 374)
Fundamentals of Statistical Inference: Foundations of Data Analysis (International Series in Operations Research & Management Science, 374)
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The Infographic: A History of Data Graphics in News and Communications (History and Foundations of Information Science)
The Infographic: A History of Data Graphics in News and Communications (History and Foundations of Information Science)
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Inference and Learning from Data: Volume 1: Foundations
Inference and Learning from Data: Volume 1: Foundations
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Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
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Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators: Theory and Practice: 997 (Wiley Series in Probability and Statistics)
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators: Theory and Practice: 997 (Wiley Series in Probability and Statistics)
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Machine Learning Foundations for Big Data and Text: Math Concepts for ML: Probability, Classification, Regression & Optimization (ML & AI Professional Education)
Machine Learning Foundations for Big Data and Text: Math Concepts for ML: Probability, Classification, Regression & Optimization (ML & AI Professional Education)
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Foundations of Software Science and Computation Structures: 28th International Conference, FoSSaCS 2025, Held as Part of the International Joint ... (Lecture Notes in Computer Science, 15691)
Foundations of Software Science and Computation Structures: 28th International Conference, FoSSaCS 2025, Held as Part of the International Joint ... (Lecture Notes in Computer Science, 15691)
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Data Governance & AI Foundations: Tools, Templates, and Best Practices for Business Success
Data Governance & AI Foundations: Tools, Templates, and Best Practices for Business Success
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Big data mathematics and ai algorithms: Foundations of scalable machine learning (Math and Artificial Intelligence)
Big data mathematics and ai algorithms: Foundations of scalable machine learning (Math and Artificial Intelligence)
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Minds and Machines: Foundations and Pillars of AI: AI Foundations: Philosophy, Digital Twins, Agents & Data Engineering (fundae University AI Education)
Minds and Machines: Foundations and Pillars of AI: AI Foundations: Philosophy, Digital Twins, Agents & Data Engineering (fundae University AI Education)
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Data Governance & AI Foundations: Tools, Templates, and Best Practices for Business Success
Data Governance & AI Foundations: Tools, Templates, and Best Practices for Business Success
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Big data mathematics and ai algorithms: Foundations of scalable machine learning (Math and Artificial Intelligence)
Big data mathematics and ai algorithms: Foundations of scalable machine learning (Math and Artificial Intelligence)
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Digital Trace Data Research in Information Systems: Foundations, Methods, and Applications (Progress in IS)
Digital Trace Data Research in Information Systems: Foundations, Methods, and Applications (Progress in IS)
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The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning: 175 (Studies in Big Data, 175)
The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning: 175 (Studies in Big Data, 175)
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Trustworthy Machine Learning: From Data to Models (Foundations and Trends® in Artificial Intelligence)
Trustworthy Machine Learning: From Data to Models (Foundations and Trends® in Artificial Intelligence)
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THE ML PIPELINE HANDBOOK: END-TO-END DATA WORKFLOWS FOR REAL-WORLD AI (Foundations of Intelligent Systems)
THE ML PIPELINE HANDBOOK: END-TO-END DATA WORKFLOWS FOR REAL-WORLD AI (Foundations of Intelligent Systems)
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BUILDING RELIABLE DATA PIPELINES IN MACHINE LEARNING SYSTEMS: FROM INGESTION TO DEPLOYMENT (Foundations of Intelligent Systems)
BUILDING RELIABLE DATA PIPELINES IN MACHINE LEARNING SYSTEMS: FROM INGESTION TO DEPLOYMENT (Foundations of Intelligent Systems)
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Generalized Normalizing Flows via Markov Chains (Elements in Non-local Data Interactions: Foundations and Applications)
Generalized Normalizing Flows via Markov Chains (Elements in Non-local Data Interactions: Foundations and Applications)
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Latent Modes of Nonlinear Flows: A Koopman Theory Analysis (Elements in Non-local Data Interactions: Foundations and Applications)
Latent Modes of Nonlinear Flows: A Koopman Theory Analysis (Elements in Non-local Data Interactions: Foundations and Applications)
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Towards A Unified Understanding of Technology Resistance and Avoidance: A Holistic View on Extant Literature and Agenda for Future Research (Foundations and Trends® in Computer Science)
Towards A Unified Understanding of Technology Resistance and Avoidance: A Holistic View on Extant Literature and Agenda for Future Research (Foundations and Trends® in Computer Science)
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Data Structure Synthesis: Boosting Productivity Through Data Structure Reuse
Data Structure Synthesis: Boosting Productivity Through Data Structure Reuse
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Thinking Programs: Logical Modeling and Reasoning About Languages, Data, Computations, and Executions (Texts & Monographs in Symbolic Computation)
Thinking Programs: Logical Modeling and Reasoning About Languages, Data, Computations, and Executions (Texts & Monographs in Symbolic Computation)
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