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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Data Classification: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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Designing Data-Intensive Web Applications (The Morgan Kaufmann Series in Data Management Systems)
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Data Modeling for the Sciences: Applications, Basics, Computations
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DATA SCIENCE FOR PERSONAL FINANCE MICROECONOMICS: Methodologies and Applications: 1
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Proceedings of International Conference on Data Science and Applications: ICDSA 2022, Volume 1
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High-Dimensional Probability – An Introduction with Applications in Data Science
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SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
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Cloud Native: Using Containers, Functions, and Data to Build Next-Generation Applications
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Sustainable Innovations in Statistics and Data Science: First International Conference, SISD 2025, Bangalore, India, March 27-28, 2025, Revised ... Science Applications and Research, 9)
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Handbook of Statistical Analysis and Data Mining Applications
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Data Mining for Business Analytics: Concepts, Techniques and Applications in Python
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Practical Linear Algebra for Data Science: From Core Co - Cohen, Mike X - Paperback -20/09/2022
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Data Engineering for AI/ML Pipelines – Guide to data pipelines & architectures – English Edition
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Designing Scalable Streaming Architectures with Apache Kafka: Apply Proven Patterns, Balance Trade-Offs, and Build High-Performance Systems for Data-Intensive Applications
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Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning
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