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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Why AI/Data Science Projects Fail$1,990$1,890 -
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Statistical Learning with Sparsity: The Lasso and Generalizations (Paperback)$2,200$2,090 -
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Signal and Information Processing, Networking and Computers: Proceedings of the 1st International Congress on Signal and Information Processing, Netwo$2,780$2,641 -
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Data Control: Major Challenge for the Digital Society$6,370$6,242 -
Intelligent Data Engineering and Automated Learning - Ideal 2020: 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings,$2,430$2,381 -
Linking Sensitive Data: Methods and Techniques for Practical Privacy-Preserving Information Sharing$7,200$7,056 -
Web Information Systems Engineering - Wise 2020: 21st International Conference, Amsterdam, the Netherlands, October 20-24, 2020, Proceedings, Part I$2,430$2,381 -
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Intelligent Systems: 9th Brazilian Conference, Bracis 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part I$4,530$4,439 -
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Mastering SAS Programming for Data Warehousing$2,000$1,900 -
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Contemporary Perspectives in Data Mining Volume 4$3,360$3,192 -
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The Data Science Framework: A View from the Edison Project$7,200$7,056 -
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