数据分析在社会视角中的挑战和应用

Venkatesan Manian, Vadivel P.
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引用次数: 4

摘要

本章简要介绍了数据科学的历史及其在现代的重要性。本章还通过将数据科学与各种现代领域(如大数据分析、人工智能、深度学习和机器学习)联系起来,详细阐述了讨论。本章还讨论了在大数据时代进行数据分析的必要性。本章还简要介绍了另一个新兴领域,物联网(IoT),并从研究角度探讨了物联网对大数据分析和数据科学的贡献。它还简要介绍了数据科学领域中使用的编程和非编程工具。
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Challenges and Applications of Data Analytics in Social Perspectives
This chapter introduces data science with its history and importance in this modern era briefly. This chapter also elaborates the discussion by relating data science to various modern fields like big data analytics, artificial intelligence, deep learning, and machine learning. This chapter also discuss the necessary of data analytics in this big data era. This chapter also briefly introduces another emerging field, Internet of Things (IoT) and explores the contribution IoT towards big data analytics and data science in research perspective. It also briefly introduces the programming and non-programming tools used in the data science field.
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Advanced Deep Learning Applications in Big Data Analytics Introduction of Big Data With Analytics of Big Data Big Data and Cloud Computing Challenges and Applications of Data Analytics in Social Perspectives
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