AI Solutions for the United Nations Sustainable Development Goals (Un Sdgs): A Practical Approach Using JavaScript
Fowdur, Tulsi Pawan, Babooram, Lavesh, Lalitesh, Dobee
- 出版商: Apress
- 出版日期: 2024-12-24
- 售價: $2,210
- 貴賓價: 9.5 折 $2,100
- 語言: 英文
- 頁數: 360
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798868805387
- ISBN-13: 9798868805387
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相關分類:
JavaScript、人工智慧
尚未上市，無法訂購
相關主題
商品描述
Learn the United Nations Sustainable Development Goals (UN SDGs) and see how machine learning can significantly contribute to their realization. This book imparts both theoretical knowledge and hands-on experience in comprehending and constructing machine learning-based applications for addressing multiple UN SDGs using JavaScript.
The reading begins with a delineation of diverse UN SDG targets, providing an overview of previous successful applications of machine learning in solving realistic problems aligned with these targets. It thoroughly explains fundamental concepts of machine learning algorithms for prediction and classification, coupled with their implementation in JavaScript and HTML programming.
Detailed case studies examine challenges related to renewable energy, agriculture, food production, health, environment, climate change, water quality, air quality, and telecommunications, corresponding to various UN SDGs. Each case study includes related works, datasets, machine learning algorithms, programming concepts, and comprehensive explanations of JavaScript and HTML codes used for web-based machine learning applications. The results obtained are meticulously analyzed and discussed, showcasing the pivotal role of machine learning in advancing the relevant SDGs.
By the end of this book, you'll have a firm understanding of SDG fundamentals and the practical application of machine learning to address diverse challenges associated with these goals.
What You'll Learn
- Understand the fundamental concepts of the UN SDGs, AI, and machine learning algorithms.
- Employ the correct machine learning algorithms to address challenges on the United Nations Sustainable Development Goals (UN SDGs)?
- Develop web-based machine learning applications for the UN SDGs using Javascript, and HTML.
- Analyze the impact of a machine learning-based solution on a specific UN SDG.
Who This Book Is For
Data scientists, machine learning engineers, software professionals, researchers, and graduate students.
商品描述(中文翻譯)
學習聯合國可持續發展目標（UN SDGs），並了解機器學習如何能顯著促進這些目標的實現。本書提供理論知識與實務經驗，幫助讀者理解並構建基於機器學習的應用，以解決多個聯合國可持續發展目標，使用 JavaScript 進行開發。
本書的閱讀從不同的聯合國可持續發展目標的具體指標開始，概述了過去成功應用機器學習解決與這些指標相關的現實問題的案例。書中詳細解釋了機器學習算法的基本概念，包括預測和分類，並結合其在 JavaScript 和 HTML 編程中的實現。
詳細的案例研究探討了與可再生能源、農業、食品生產、健康、環境、氣候變遷、水質、空氣質量和電信相關的挑戰，這些挑戰對應於各種聯合國可持續發展目標。每個案例研究都包括相關的研究成果、數據集、機器學習算法、編程概念，以及用於基於網頁的機器學習應用的 JavaScript 和 HTML 代碼的全面解釋。所獲得的結果經過仔細分析和討論，展示了機器學習在推進相關可持續發展目標中的關鍵角色。
在本書結束時，您將對可持續發展目標的基本概念有堅實的理解，並能實際應用機器學習來解決與這些目標相關的各種挑戰。
您將學到的內容：
- 理解聯合國可持續發展目標、人工智慧和機器學習算法的基本概念。
- 使用正確的機器學習算法來解決聯合國可持續發展目標的挑戰。
- 使用 JavaScript 和 HTML 開發基於網頁的機器學習應用。
- 分析基於機器學習的解決方案對特定聯合國可持續發展目標的影響。
本書適合對象：
數據科學家、機器學習工程師、軟體專業人士、研究人員及研究生。
作者簡介
Dr. Tulsi Pawan Fowdur received his BEng (Hons) degree in Electronic and Communication Engineering with honors from the University of Mauritius in 2004. He was also the recipient of a Gold medal for having produced the best degree project at the Faculty of Engineering in 2004. In 2005 he obtained a full-time PhD scholarship from the Tertiary Education Commission of Mauritius and was awarded his PhD degree in Electrical and Electronic Engineering in 2010 by the University of Mauritius. He is also a Registered Chartered Engineer of the Engineering Council of the UK, Fellow of the Institute of Telecommunications Professionals of the UK, and a Senior Member of the IEEE. He joined the University of Mauritius as an academic in June 2009 and is presently an Associate Professor at the Department of Electrical and Electronic Engineering of the University of Mauritius. His research interests include Mobile and Wireless Communications, Multimedia Communications, Networking and Security, Telecommunications Applications Development, the Internet of Things, and AI. He has published several papers in these areas and is actively involved in research supervision, reviewing papers, and also organizing international conferences.
Lavesh Babooram received his BEng (Hons) degree in Telecommunications Engineering with Networking with honors from the University of Mauritius in 2021. He was also awarded a Gold medal for having produced the best degree project at the Faculty of Engineering in 2021. Since 2022, he has been an MSc by Applied Research student at the University of Mauritius. With in-depth knowledge of telecommunications applications design, analytics, and network infrastructure, he aims to pursue research in Networking, Multimedia Communications, Internet of Things, Artificial Intelligence, and Mobile and Wireless Communications. He joined Mauritius Telecom in 2022 and is currently working in the Customer Experience and Service Department as a Pre-Registration Trainee Engineer.
作者簡介(中文翻譯)
Dr. Tulsi Pawan Fowdur於2004年獲得毛里求斯大學電子與通信工程的榮譽學士學位。他因在2004年工程學院的最佳學位專案而獲得金獎。他於2005年獲得毛里求斯高等教育委員會的全職博士獎學金，並於2010年獲得毛里求斯大學的電氣與電子工程博士學位。他也是英國工程委員會的註冊特許工程師、英國電信專業人員學會的院士，以及IEEE的高級會員。他於2009年6月加入毛里求斯大學擔任學術職位，目前是毛里求斯大學電氣與電子工程系的副教授。他的研究興趣包括行動與無線通信、多媒體通信、網路與安全、電信應用開發、物聯網及人工智慧。他在這些領域發表了多篇論文，並積極參與研究指導、論文審稿以及國際會議的組織工作。
Lavesh Babooram於2021年獲得毛里求斯大學的網路通信工程榮譽學士學位。他因在2021年工程學院的最佳學位專案而獲得金獎。自2022年以來，他一直是毛里求斯大學應用研究碩士學位的學生。擁有深入的電信應用設計、分析和網路基礎設施知識，他旨在追求網路、多媒體通信、物聯網、人工智慧以及行動與無線通信的研究。他於2022年加入毛里求斯電信公司，目前在客戶體驗與服務部門擔任預註冊實習工程師。
