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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Data Analytics for Internal Auditors$2,620$2,489 -
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Analyzing and Securing Social Networks$1,920$1,824 -
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Recent Advances in Data Science: Third International Conference on Data Science, Medicine, and Bioinformatics, Idmb 2019, Nanning, China, June 22-24,$2,330$2,214 -
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Proceedings of Icetit 2019: Emerging Trends in Information Technology$12,820$12,179 -
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Soft Computing Applications and Techniques in Healthcare$8,380$7,961 -
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Artificial Intelligence: 18th Russian Conference, Rcai 2020, Moscow, Russia, October 10-16, 2020, Proceedings$2,330$2,214 -
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The Chief Data Officer Management Handbook: Set Up and Run an Organization's Data Supply Chain$1,690$1,606 -
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Nature-Inspired Computation in Data Mining and Machine Learning$4,810$4,570 -
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Analytics Stories: Using Data to Make Good Things Happen$1,440$1,368 -
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Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data$7,650$7,268 -
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$1,36097 Things about Ethics Everyone in Data Science Should Know -
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$1,315Data Management at Scale: Best Practices for Enterprise Architecture -
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$1,315Data Management at Scale: Best Practices for Enterprise Architecture
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New Age Analytics: Transforming the Internet Through Machine Learning, Iot, and Trust Modeling$6,550$6,223 -
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