Data Science for Sustainable Development Goals: Indian Case Studies
暫譯: 可持續發展目標的數據科學：印度案例研究
Sarkar, Avik, Mukhopadhyay, Bappaditya
- 出版商: CRC
- 出版日期: 2026-06-09
- 售價: $5,880
- 貴賓價: 9.5 折 $5,586
- 語言: 英文
- 頁數: 220
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032781319
- ISBN-13: 9781032781310
-
相關分類:
Data-mining、Machine Learning
海外代購書籍(需單獨結帳)
商品描述
The book presents real-life applications of data science, artificial intelligence, and big data for the Sustainable Development Goals. It includes a list of case studies from different states across India. The case studies in the book use both structured and unstructured data like numeric data, textual data, and video/image data across the various chapters for analysis. The book chapters delve into various aspects of data science starting from on ground data collection to dashboard based reporting, unsupervised methods like clustering for grouping data points, use of artificial intelligence, machine learning and deep learning, search or information retrieval, time series forecasting, and optimization.
- It showcases data science decision-making processes, driving innovation, and solving complex problems in real-life scenarios across sectors like finance, healthcare, and e-commerce.
- The SDGs provide a framework for societal development and well-being for all; the data science and big data interventions in this book are aligned towards mapping the various SDGs.
- Most of the data science use cases and initiative projects covered in this book have been implemented by the central or state governments across different states of India.
- Shows how data science intervention can transform the social sector, potentially driving positive change and addressing critical societal challenges.
- Explained the fundamentals of data science theories, including concepts like classification, regression, predictive analytics, optimization, artificial intelligence, deep learning, and time series forecasting for readers of different disciplines.
It serves as a valuable reference for graduate students, researchers, and scholars seeking to deepen their knowledge and engage with real life applications of data science. It will also serve as a valuable resource for government officers and policy practitioners, providing a range of cases on the use of data-based methods for improving governance and policy making.
The Open Access version of this book, available at http: //www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license funded by by the Great Lakes Institute of Management, Gurgaon Campus, Delhi NCR, India.
商品描述(中文翻譯)
本書展示了數據科學、人工智慧和大數據在可持續發展目標（Sustainable Development Goals, SDGs）中的實際應用。書中包含來自印度不同州的案例研究列表。這些案例研究使用了結構化和非結構化數據，如數值數據、文本數據以及視頻/圖像數據，並在各章中進行分析。本書的章節深入探討了數據科學的各個方面，從實地數據收集到基於儀表板的報告、無監督方法如聚類以分組數據點、人工智慧的應用、機器學習和深度學習、信息檢索、時間序列預測以及優化。
- 本書展示了數據科學決策過程，推動創新，並在金融、醫療保健和電子商務等行業的實際情境中解決複雜問題。
- 可持續發展目標為社會發展和全人類的福祉提供了一個框架；本書中的數據科學和大數據介入旨在對應各種可持續發展目標。
- 本書中涵蓋的大多數數據科學用例和倡議項目均由印度不同州的中央或州政府實施。
- 展示了數據科學介入如何改變社會部門，潛在地推動積極變革並解決關鍵的社會挑戰。
- 解釋了數據科學理論的基本原則，包括分類、回歸、預測分析、優化、人工智慧、深度學習和時間序列預測等概念，適合不同學科的讀者。
本書是研究生、研究人員和學者尋求深化知識並參與數據科學實際應用的寶貴參考資料。它也將成為政府官員和政策實踐者的重要資源，提供一系列基於數據的方法以改善治理和政策制定的案例。
本書的開放存取版本可在 http://www.taylorfrancis.com 獲得，並根據創用CC [署名-非商業性-禁止改作 (CC BY-NC-ND)] 4.0 授權，由印度德里NCR的大湖管理學院資助。
作者簡介
Avik Sarkar is a Faculty at the Indian School of Business, working in the areas of Data, Emerging Technology and Public Policy. At ISB, Sarkar has headed the development of the India Data Portal, a one-stop portal for analyzing and visualizing government data and working on the societal & policy aspects related to emerging technologies like artificial intelligence trustworthiness, ethics, data privacy, e-commerce policy, etc. Sarkar was the former Head of the Data Analytics Cell and Officer on Special Duty (OSD) at NITI Aayog (National Institution for Transforming India Aayog), the premier policy think-tank of the Government of India. At NITI Aayog, Sarkar helped in developing India's first AI Strategy and roadmap for the use of data, analytics and artificial intelligence for Governance and policymaking across various sectors for India's inclusive growth and led efforts towards setting up the first High-Performance Computing based Data Analytics Lab and Energy Modeling Unit at NITI Aayog. Sarkar is a multiple TEDx speaker and was nominated among the "Top 10 Data Scientists in India" in 2017 by Analytics India Magazine and nominated as "LinkedIn Influencer" in the Technology space in 2015 for contribution and engaging discussions on the LinkedIn platform.
Bappaditya Mukhopadhyay is currently a Professor in Economics and Finance at the Great Lakes Institute of Management and a visiting professor at the University of Ulm. Germany. He is also the Managing Editor of Journal of Infrastructure and Development apart from serving on the editorial boards of many peer reviewed journals. Director of the Business Analytics Program at Great Lakes Institute. He has been voted among the top ten Analytics Academician in India for the last few years and also featured among top 75 Academic data leaders globally. Mukhopadhyay obtained his PhD from Indian Statistical Institute in 2002 and has been a prolific researcher in Development Economics, Policy implementations, and Applied Machine Learning.
作者簡介(中文翻譯)
Avik Sarkar 是印度商學院的教員，專注於數據、新興技術和公共政策領域。在印度商學院，Sarkar 負責開發印度數據門戶網站，這是一個用於分析和可視化政府數據的一站式平台，並致力於與新興技術（如人工智慧的可信度、倫理、數據隱私、電子商務政策等）相關的社會和政策方面的工作。Sarkar 曾擔任 NITI Aayog（印度轉型國家機構）的數據分析小組負責人及特別任務官（OSD），該機構是印度政府的主要政策智庫。在 NITI Aayog，Sarkar 協助制定印度首個人工智慧戰略及數據、分析和人工智慧在各個領域的治理和政策制定中的應用路線圖，以促進印度的包容性增長，並主導設立 NITI Aayog 首個基於高性能計算的數據分析實驗室和能源建模單位。Sarkar 是多次 TEDx 演講者，並於 2017 年被《Analytics India Magazine》評選為「印度十大數據科學家」之一，並於 2015 年因在 LinkedIn 平台上的貢獻和參與討論而被提名為科技領域的「LinkedIn 影響者」。
Bappaditya Mukhopadhyay 目前是大湖管理學院的經濟學和金融學教授，並擔任烏爾姆大學的客座教授。他還是《基礎設施與發展期刊》的主編，並在多本同行評審期刊的編輯委員會中任職。作為大湖管理學院商業分析計劃的主任，他在過去幾年中被評選為印度十大分析學者之一，並在全球學術數據領導者中名列前 75 名。Mukhopadhyay 於 2002 年在印度統計學院獲得博士學位，並在發展經濟學、政策實施和應用機器學習方面進行了大量研究。
