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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Ethics of Data and Analytics: Concepts and Cases$7,280$6,916 -
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Cohesive Subgraph Search Over Large Heterogeneous Information Networks$2,280$2,166 -
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Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances$6,990$6,640 -
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Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs$6,990$6,640 -
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Data Analytics for Business: Foundations and Industry Applications$7,280$6,916 -
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Data Analytics Initiatives: Managing Analytics for Success$2,370$2,251 -
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Data Analytics Initiatives: Managing Analytics for Success$5,300$5,035 -
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Computational Statistics in Data Science$7,720$7,334 -
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Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms$8,090$7,685 -
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Guide to Differential Privacy Modifications: A Taxonomy of Variants and Extensions$2,680$2,546 -
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$1,260Comptia Data+ Study Guide: Exam Da0-001 -
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Introduction to Data Mining$5,280$5,016 -
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