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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Statistical Inference from High Dimensional Data$2,850$2,707 -
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The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry$4,490$4,265 -
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Fuzzy Transforms for Image Processing and Data Analysis: Core Concepts, Processes and Applications$6,970$6,621 -
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Responsible Data Science$1,360$1,292 -
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Handbook of Web Surveys$7,120$6,764 -
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Information Spread in a Social Media Age: Modeling and Control$6,330$6,013 -
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Information-Theoretic Methods in Data Science$4,900$4,655 -
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Enabling Smart Urban Services with GPS Trajectory Data$8,140$7,733 -
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關鍵疊代:可信賴的線上對照實驗$594$564 -
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斯坦福數據挖掘教程, 3/e (Mining of Massive Datasets, 3/e)$774$735 -
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Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools$1,760$1,672 -
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Handbook of Mixed Membership Models and Their Applications$3,770$3,581 -
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Trends of Data Science and Applications: Theory and Practices$6,970$6,621 -
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Artificial Intelligence and Data Mining for Mergers and Acquisitions$6,330$6,013 -
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Artificial Intelligence in Data Mining: Theories and Applications$5,990$5,690 -
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Administrative Records for Survey Methodology$4,810$4,569 -
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Data Science: New Issues, Challenges and Applications$7,360$6,992 -
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Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques, and Applications$8,060$7,657 -
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