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 Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, Without the Hype$1,950$1,852 -
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Machine Intelligence and Data Science Applications: Proceedings of Midas 2022$11,830$11,238 -
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Non-Linear Spectral Unmixing of Hyperspectral Data$5,610$5,329 -
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Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook$10,780$10,241 -
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Facets of Behaviormetrics: The 50th Anniversary of the Behaviormetric Society$7,990$7,590 -
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Quantitative Demography and Health Estimates: Healthy Life Expectancy, Templates for Direct Estimates from Life Tables and Other Applications$5,200$4,940 -
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Recent Trends and Future Challenges in Learning from Data$6,460$6,137 -
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Recent Advances in Next-Generation Data Science: Third Southwest Data Science Conference, Sdsc 2024, Waco, Tx, Usa, March 22, 2024, Revised Selected P$3,390$3,220 -
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Metaheuristics for Enterprise Data Intelligence$6,520$6,194 -
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Applications of Artificial Intelligence and Neural Systems to Data Science$7,300$6,935 -
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Analysis File of Drug-Induced Lung Injury: Expert Opinion for Analysis of Big Data$4,260$4,047 -
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Recent Trends in Analysis of Images, Social Networks and Texts: 11th International Conference, Aist 2023, Yerevan, Armenia, September 28-30, Revised S$3,380$3,211 -
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