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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$453遊戲數據分析：從方法到實踐 -
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Automating Data-Driven Modelling of Dynamical Systems: An Evolutionary Computation Approach$6,840$6,498 -
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$560數據分析師典型面試題精講 -
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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$750$712 -
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Handbook of Computational Social Science for Policy$2,620$2,489 -
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Handbook of Computational Social Science for Policy$2,160$2,052 -
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Relational Calculus for Actionable Knowledge$3,010$2,859 -
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Military Applications of Data Analytics$2,250$2,137 -
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$3,953Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems -
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Quantitative Methods for Precision Medicine: Pharmacogenomics in Action$4,200$3,990 -
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How to Think about Data Science$2,250$2,137 -
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How to Think about Data Science$5,000$4,750 -
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Methods of Strategic Trade Analysis: Data-Driven Approaches to Detect Illicit Dual-Use Trade$4,160$3,952 -
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Statistical Inference and Machine Learning for Big Data$6,000$5,700 -
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Advances in Data Science and Computing Technology: Methodology and Applications$6,220$5,909 -
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There Are No Facts: Attentive Algorithms, Extractive Data Practices, and the Quantification of Everyday Life$1,240$1,178 -
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Intelligent Computing and Applications: Proceedings of ICDIC 2020$10,180$9,671 -
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Data Science in Context: Foundations, Challenges, Opportunities$1,920$1,824
