Data Science / Data-mining
資料探勘是從大量資料中尋找有用的訊息的過程，透過運用統計和機器學習技術來探索和分析資料，揭示其中的模式和關聯性。
這些資訊可以被應用於預測、決策制定、洞察市場趨勢以及優化業務流程等方面。
資料探勘在各個領域中扮演著重要的角色，例如醫療保健、金融、銷售和市場營銷等。
相關書籍
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Incremental learning for large scale data stream analytics in a complex environment$3,040$2,888 -
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Application of Advanced Optimization Techniques for Healthcare Analytics$7,160$6,802 -
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Data Science and Analytics Strategy: An Emergent Design Approach$2,450$2,328 -
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Data Science and Analytics Strategy: An Emergent Design Approach$6,020$5,719 -
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Data Science Concepts and Techniques with Applications$3,550$3,373 -
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Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-Driven Approach$2,250$2,138 -
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Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining, 4/e (Hardcover)$2,100$2,058 -
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$1,840The Enterprise Data Catalog: Improve Data Discovery, Ensure Data Governance, and Enable Innovation (Paperback) -
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Mathematical Gnostics: Advanced Data Analysis for Research and Engineering Practice$7,920$7,524 -
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Data Quality: Empowering Businesses with Analytics and AI (Hardcover)$1,500$1,425 -
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Data Analytics For Beginners$770$732 -
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Handbook of Computational Social Science for Policy$2,600$2,470 -
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Handbook of Computational Social Science for Policy$2,360$2,242 -
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Relational Calculus for Actionable Knowledge$2,980$2,831 -
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Military Applications of Data Analytics$2,490$2,366 -
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Intelligent Computing and Applications: Proceedings of ICDIC 2020$11,300$10,735
