data mining: foundations

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Data Mining: Foundations and Practice: 118 (Studies in Computational Intelligence, 118)
Data Mining: Foundations and Practice: 118 (Studies in Computational Intelligence, 118)
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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 Numerical Methods and Data Analysis
Foundations of Numerical Methods and Data Analysis
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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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Data Mining and Machine Learning : Fundamental Concepts and Algorithms
Data Mining and Machine Learning : Fundamental Concepts and Algorithms
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Mastering Data Analysis with Python, R, and SQL: From Statistical Foundations to Artificial Intelligence
Mastering Data Analysis with Python, R, and SQL: From Statistical Foundations to Artificial Intelligence
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Data Analytics for Business : Foundations and Industry Applications
Data Analytics for Business : Foundations and Industry Applications
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Foundations of Deep Reinforcement Learning
Foundations of Deep Reinforcement Learning
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Introduction to scikit-learn and Its Ecosystem: Volume 1: Foundations of Applied Machine Learning (As Fast As Possible)
Introduction to scikit-learn and Its Ecosystem: Volume 1: Foundations of Applied Machine Learning (As Fast As Possible)
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Privacy Rights : Moral and Legal Foundations
Privacy Rights : Moral and Legal Foundations
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FOUNDATIONS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: UNDERSTAND THE CORE CONCEPTS, ALGORITHMS, AND WORKFLOW BEHIND INTELLIGENT SYSTEMS
FOUNDATIONS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: UNDERSTAND THE CORE CONCEPTS, ALGORITHMS, AND WORKFLOW BEHIND INTELLIGENT SYSTEMS
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Introduction to Mining Geostatistics : Intuitive Applications With Excel and R
Introduction to Mining Geostatistics : Intuitive Applications With Excel and R
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Introduction to scikit-learn and Its Ecosystem: Volume 1: Foundations of Applied Machine Learning (As Fast As Possible)
Introduction to scikit-learn and Its Ecosystem: Volume 1: Foundations of Applied Machine Learning (As Fast As Possible)
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Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use Cases
Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use Cases
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