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Advanced deep learning applications ...
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Bouarara, Hadj Ahmed, (1990-)
Advanced deep learning applications in big data analytics[electronic resource] /
紀錄類型:
書目-電子資源 : Monograph/item
杜威分類號:
005.7
書名/作者:
Advanced deep learning applications in big data analytics/ Hadj Ahmed Bouarara, editor.
其他作者:
Bouarara, Hadj Ahmed,
出版者:
Hershey, Pennsylvania : : IGI Global,, 2020
面頁冊數:
1 online resource (xx, 351 p.)
標題:
Big data.
標題:
Artificial intelligence.
標題:
Machine learning.
ISBN:
9781799827931 (ebk.)
ISBN:
9781799827917 (hbk.)
ISBN:
9781799827924 (pbk.)
書目註:
Includes bibliographical references and index.
內容註:
Chapter 1. Advanced deep learning applications in big data analytics: introduction of Internet of things -- Chapter 2. Big data and cloud computing: a technological and literary background -- Chapter 3. Challenges and applications of data analytics in social perspectives: introduction of data science -- Chapter 4. Deep learning for social media text analytics -- Chapter 5. Deeplearning for computer vision problems: litterature review -- Chapter 6. Introduction of big data with analytics of big data -- Chapter 7. Machine learning in sentiment analysis over twitter: synthesis and comparative study -- Chapter 8. Machine learning techniques in spam detection -- Chapter 9. On swarm intelligence and its integration with Internet of things: challenges and applications -- Chapter 10. Physical characteristics of type 1 and 2 diabetic subjects: NCR, Indian-based computational perspective -- Chapter 11. Research information: bio-inspiration in information retrieval -- Chapter 12. Study on South Asian diabetic subjects on different attributes: a statistical approach.
摘要、提要註:
"This book explores the developing and application of deep learning in big data"--
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2791-7
Advanced deep learning applications in big data analytics[electronic resource] /
Advanced deep learning applications in big data analytics
[electronic resource] /Hadj Ahmed Bouarara, editor. - Hershey, Pennsylvania :IGI Global,2020 - 1 online resource (xx, 351 p.)
Includes bibliographical references and index.
Chapter 1. Advanced deep learning applications in big data analytics: introduction of Internet of things -- Chapter 2. Big data and cloud computing: a technological and literary background -- Chapter 3. Challenges and applications of data analytics in social perspectives: introduction of data science -- Chapter 4. Deep learning for social media text analytics -- Chapter 5. Deeplearning for computer vision problems: litterature review -- Chapter 6. Introduction of big data with analytics of big data -- Chapter 7. Machine learning in sentiment analysis over twitter: synthesis and comparative study -- Chapter 8. Machine learning techniques in spam detection -- Chapter 9. On swarm intelligence and its integration with Internet of things: challenges and applications -- Chapter 10. Physical characteristics of type 1 and 2 diabetic subjects: NCR, Indian-based computational perspective -- Chapter 11. Research information: bio-inspiration in information retrieval -- Chapter 12. Study on South Asian diabetic subjects on different attributes: a statistical approach.
Restricted to subscribers or individual electronic text purchasers.
"This book explores the developing and application of deep learning in big data"--
ISBN: 9781799827931 (ebk.)Subjects--Topical Terms:
571002
Big data.
LC Class. No.: QA76.9.B45 / A38 2020e
Dewey Class. No.: 005.7
Advanced deep learning applications in big data analytics[electronic resource] /
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Hadj Ahmed Bouarara, editor.
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2020
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Chapter 1. Advanced deep learning applications in big data analytics: introduction of Internet of things -- Chapter 2. Big data and cloud computing: a technological and literary background -- Chapter 3. Challenges and applications of data analytics in social perspectives: introduction of data science -- Chapter 4. Deep learning for social media text analytics -- Chapter 5. Deeplearning for computer vision problems: litterature review -- Chapter 6. Introduction of big data with analytics of big data -- Chapter 7. Machine learning in sentiment analysis over twitter: synthesis and comparative study -- Chapter 8. Machine learning techniques in spam detection -- Chapter 9. On swarm intelligence and its integration with Internet of things: challenges and applications -- Chapter 10. Physical characteristics of type 1 and 2 diabetic subjects: NCR, Indian-based computational perspective -- Chapter 11. Research information: bio-inspiration in information retrieval -- Chapter 12. Study on South Asian diabetic subjects on different attributes: a statistical approach.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2791-7
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