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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Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology Issues$7,230$6,869 -
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$270Python 數據結構和算法實戰, 2/e (Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2/e) -
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Flexible Imputation of Missing Data, Second Edition$2,230$2,119 -
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Hidden Markov Models for Time Series: An Introduction Using R, Second Edition$2,500$2,375 -
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Computers, People, and Thought: From Data Mining to Evolutionary Robotics$3,420$3,249 -
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Predicting the Dynamics of Research Impact$7,230$6,869 -
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Social Computing with Artificial Intelligence$7,230$6,869 -
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Multivariate Data Analysis on Matrix Manifolds: (With Manopt)$2,230$2,119 -
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Using Artificial Neural Networks for Timeseries Smoothing and Forecasting: Case Studies in Economics$6,060$5,757 -
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$626統計挖掘與機器學習：大數據預測建模和分析技術（原書第3版） -
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$509機器學習算法競賽實戰 -
Artificial Intelligence and Data Mining Approaches in Security Frameworks (Hardcover)$2,050$2,009 -
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Biomedical Data Mining for Information Retrieval: Methodologies, Techniques, and Applications$7,230$6,869 -
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Neural Computing for Advanced Applications: Second International Conference, NCAA 2021, Guangzhou, China, August 27-30, 2021, Proceedings$5,720$5,434 -
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Mining Software Engineering Data for Software Reuse$3,990$3,791 -
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$352大數據實踐之路：數據中臺 + 數據分析 + 產品應用 -
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$454從0到1：數據分析師養成寶典 -
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$189Pandas與scikit-learn數據分析與挖掘實用指南(2021版) -
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Advanced Analytics with Transact-SQL: Exploring Hidden Patterns and Rules in Your Data$1,360$1,292
