Data Science and Data Analytics: Opportunities and Challenges
暫譯: 數據科學與數據分析：機會與挑戰

Tyagi, Amit Kumar

Data Science and Data Analytics: Opportunities and Challenges
  • 出版商: CRC
  • 出版日期: 2024-10-04
  • 售價: $2,330
  • 貴賓價: 9.5 折 $2,214
  • 語言: 英文
  • 頁數: 464
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367628880
  • ISBN-13: 9780367628888
  • 相關分類: Data Science

    • 海外代購書籍(需單獨結帳)

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商品描述

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. This book covers all the possible areas, applications with arising serious concerns, and challenges towards this emerging area/field in detail.

商品描述(中文翻譯)

資料科學是一個多學科的領域，利用科學方法、過程、演算法和系統，從結構化和非結構化數據中提取知識和見解。本書詳細涵蓋了所有可能的領域、應用以及在這個新興領域中出現的重大關注和挑戰。

作者簡介

Amit Kumar Tyagi is Assistant Professor (Senior Grade), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India.

He earned his PhoD. in 2018 from Pondicherry Central University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) from 2009-2010, and 2012-2013. He was an Assistant Professor and Head - Research, Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad, Haryana, India in 2018-2019. His current research focuses on Machine Learning with Big data, Blockchain Technology, Data Science, Cyber Physical Systems, Smart and Secure Computing and Privacy. He has contributed to several projects such as "AARIN" and "P3- Block" to address some of the open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems (MCPS). He has published more than 8 patents in the area of Deep Learning, Internet of Things, Cyber Physical Systems and Computer Vision. He was recently awarded best paper award for paper titled "A Novel Feature Extractor Based on the Modified Approach of Histogram of oriented Gradient", ICCSA 2020, Italy (Europe). He is a regular member of the ACM, IEEE, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research Network, CSI and ISTE.

作者簡介(中文翻譯)

Amit Kumar Tyagi 是印度金奈維洛爾科技學院（VIT）助理教授（高級職級）及高級研究員。他於2018年在印度龐迪榭里中央大學獲得博士學位。他於2009-2010年及2012-2013年期間加入了加茲亞巴德的克里希納工程學院（LKCE）。在2018-2019年，他擔任哈里亞納邦法里達巴德的Lingaya's Vidyapeeth（前稱Lingaya's University）的助理教授及研究部門負責人。他目前的研究重點包括機器學習與大數據、區塊鏈技術、數據科學、網絡物理系統、智能安全計算及隱私。他參與了多個項目，如「AARIN」和「P3-Block」，以解決與車輛應用（如停車）及醫療網絡物理系統（MCPS）相關的隱私洩露問題。他在深度學習、物聯網、網絡物理系統及計算機視覺領域已發表超過8項專利。他最近因論文《基於改進的方向梯度直方圖的新型特徵提取器》獲得2020年意大利（歐洲）ICCSA最佳論文獎。他是ACM、IEEE、MIRLabs、拉馬努詹數學學會、密碼學研究學會及全球科學教育與研究網絡、CSI和ISTE的正式會員。

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