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$1,380$1,311 -
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Data Science in Chemistry: Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter$3,450$3,278 -
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Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics$6,780$6,441 -
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Big Data and Social Science: Data Science Methods and Tools for Research and Practice$3,080$2,926 -
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Software Foundations for Data Interoperability and Large Scale Graph Data Analytics: 4th International Workshop, Sfdi 2020, and 2nd International Work$2,410$2,290 -
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Data Stewardship: An Actionable Guide to Effective Data Management and Data Governance$2,100$1,995 -
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$469數據分析思維 : 分析方法和業務知識 -
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Intelligent Systems: 9th Brazilian Conference, Bracis 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part II$5,260$4,997 -
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Intelligent Systems: 9th Brazilian Conference, Bracis 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part I$4,500$4,275 -
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Web and Big Data: 4th International Joint Conference, Apweb-Waim 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part I$5,650$5,368 -
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Mastering SAS Programming for Data Warehousing$1,980$1,881 -
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Contemporary Perspectives in Data Mining Volume 4$3,340$3,173 -
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Trends and Applications in Knowledge Discovery and Data Mining: Pakdd 2020 Workshops, Dsfn, Gii, Bdm, Ldrc and Lbd, Singapore, May 11-14, 2020, Revise$2,410$2,290 -
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The Data Science Framework: A View from the Edison Project$7,160$6,802