Data Analytics using Machine Learning Techniques on Cloud Platforms
暫譯: 雲端平台上的機器學習技術數據分析

《使用機器學習技術在雲端平台上的數據分析》探討了機器學習（ML）與雲端計算如何結合，推動各行各業的數據驅動決策。這本書涵蓋了機器學習技術、基於雲端的分析工具和安全性問題，提供了理論基礎和在醫療保健、物流和電子商務等領域的實際應用。它還針對安全挑戰、隱私問題和合規框架進行了討論，確保對基於雲端的分析有全面的理解。

本書包括：
- 涵蓋監督式學習和非監督式學習，包括回歸、聚類、分類和神經網絡
- 討論Hadoop、Spark、Tableau、Power BI和Splunk在分析和可視化中的應用
- 檢視雲端計算如何提升數據分析的可擴展性、效率和自動化
- 展示在電子商務、供應鏈物流、醫療保健和教育中的機器學習驅動解決方案

本書是學生、研究人員和專業人士理解和應用機器學習驅動的雲端分析於實際場景中的重要資源。

Dr. Seema Rawat Professor AI & Data Science Innovation & Entrepreneurship

Dr. Seema Rawat, Professor in the Department of Information Technology at Amity School of Engineering and Technology, Amity University Uttar Pradesh Noida, is a distinguished academician and researcher. She has specialization in Deep Learning, Artificial Intelligence, Data Science, Machine Learning, Cloud Computing.

Dr. Seema holds a PhD and M. Tech in Computer Science and Engineering and has 20 years of teaching experience in leading engineering institutes across India and abroad. Dr. Seema has an impressive research portfolio, with high-impact SCIindexed journal papers and Scopus-indexed research papers/book chapters. She has published 70+ research papers, authored books with Elsevier and Springer, and holds more than 15 Indian patents. She serves as a reviewer for top-tier Scopus-indexed journals and editor of various books. She is supervising 5 PhD Scholar in India and 02 Foreign PhD research Scholars.

She is actively involved in professional organizations such as IEEE, ACM, and CSI. Beyond her academic and research accomplishments. Dr. Seema recognized with the Faculty Innovation Excellence Award 2019 by DST, Government of India, she actively contributes to AI research, innovation, and entrepreneurship. Dr. Seema dominates real-world impact as Vice President of UP's Entrepreneurship Council (WICCI). She is Senior Technical Advisor Technical Advisor to DeetyaSoft, Ennoble IP, and MyDigital360.

Dr. Neelu Jyothi Ahuja Professor & Associate Dean (Academics), School of Computer Science, UPES, Dehradun, Uttarakhand, India

Dr. Neelu Jyothi Ahuja is a professor and associate dean (Academics) at the School of Computer Science, UPES, Dehradun. She earned her PhD in 2010, focusing on developing a rule-based expert system for seismic data interpretation. With 24+ years of experience in teaching, research and project development, she has led numerous AI and machine learning-driven projects addressing real-world challenges.

From 2010 to 2017, she headed the Computing Research Institute, fostering interdisciplinary research. She has successfully delivered R&D projects worth over ₹1.5 crores, funded by the Department of Science and Technology (DST), GOI. Her current research focuses on AI-based tutoring tools for learning disabilities and an AI-driven snake trapper. She has supervised 10 PhD scholars and is currently guiding five more.

Dr. Ahuja has received prestigious recognitions, including the Himayan Nari Sakhti Award (2020), IGEN Women Achievers Award (2021), Leading Women Researcher Award (2022) and a research felicitation by UCOST (2022). She has been an invited speaker at national and international forums and serves on key committees such as WHO's Promotion of Assistive Products and DST's Expert Committee for CORE projects. She has also chaired conference sessions and various academic panels.

Her research interests include machine learning, intelligent tutoring systems, AI, expert systems, ICT and object-oriented development. She is an active member of IEEE, ACM and ACM-Women. Passionate about innovative teaching and student engagement, she emphasizes holistic learning beyond classroom boundaries.

Dr. Avita Katal Associate Professor and Program Leader, School of Computer Science, UPES, Dehradun, Uttarakhand, India

Dr. Avita Katal is a highly regarded academic and researcher in the fields of cloud computing, Internet of Things (IoT) and artificial intelligence. She holds a PhD in the domain of cloud computing, has completed her MTech and BE in computer science engineering.

Dr. Avita Katal is currently Associate Professor in the School of Computer Science at the University of Petroleum and Energy Studies (UPES) in Dehradun, Uttarakhand, India. She serves as the program leader for the BTech program in Computer Science & Engineering with specialization in Cloud Computing and Virtualization Technologies. Dr. Avita Katal holds a Postgraduate Certificate in Academic Practice (PGCAP), enhancing her educational expertise. With over a decade of research experience, Dr. Katal has contributed significantly to the development of advanced algorithms and systems in cloud computing environments, with particular focus on optimization techniques, resource management and cloud security.

Dr. Katal has published extensively in reputed international journals and conferences, where her work has been recognized for its innovation and practical applications. She also serves as a reviewer for numerous prestigious journals and conferences in her field, demonstrating her leadership and expertise in cloud computing, IoT and AI. Her ongoing research aims to bridge the gap between theoretical advancements and their implementation in real-world cloud infrastructures, particularly in the context of scalability, reliability and efficiency.

Dr. Praveen Kumar Director and Professor in Astana IT University, Astana, Kazakhstan

Dr. Praveen Kumar received his PhD and MTech in Computer Science and Engineering. Currently, he is working as a director and professor in Astana IT University, Astana, Kazakhstan. He has more than 18+ years of experience in teaching and research. He has been awarded the Best PhD thesis, Best Researcher award and Fellow Member of the Indian Institute of Machine Learning for outstanding contribution in AI and ML, recognized by the Government of West Bengal, India. His areas of interest include big data analytics, data mining, ML. etc.

He has to his credit 10 Patents/Copyright and has published more than 140+ research papers in International Journals and Conferences (Scopus Indexed) with Scopus H-Index 16. He is supervising five PhD research scholars in AI, big data analytics and data mining. He has delivered invited talk and guest lecture in Jamia Millia Islamia University, Maharaja Agrasen College of Delhi University, Duy Tan University Vietnam, ECE Paris, France, etc. He has been associated with many conferences throughout the world as a TPC member and session chair, etc.

He has visited various countries like Uzbekistan; Tokyo, Japan; London, UK; Paris, France; Da Nang, Vietnam; Dubai; Russia and Kazakhstan. He is a senior member of IEEE, lifetime member of IETE, member of ACM and member of IET (UK) and other renowned technical societies. He is associated with Corporates, and he is a technical adviser of DeetyaSoft Pvt. Ltd. Noida, IVRguru, MyDigital360, etc.

Prof. (Dr.) Shabana Urooj Professor, College of Engineering, Princess Nourah Bint Abdulrahman University

Prof. (Dr.) Shabana Urooj (Senior Member, IEEE) presently working as a full professor at the College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. Dr. Urooj is persistently contributing for the technical and professional development of society. She has received the bachelor's degree in electrical engineering and the master's degree in electrical engineering (Instrumentation and Control) from Aligarh Muslim University, India. She obtained her doctorate degree from Jamia Millia Islamia (A Central University), Delhi, India. She has served industry for three years and teaching organizations for over 20 years.

She has authored and co-authored more than 250 research articles, which are published in high-quality international journals, reputed conference proceedings and quality books. She has successfully completed several editorial responsibilities for reputable journals and several quality publishers and proceedings. She is presently contributing as an associate editor in Frontiers in Energy Research. She has served as an associate editor of a reputed journal viz. IEEE Sensors Journal in the past.

She was a recipient of the Springer's Excellence in Teaching and Research Award, the American Ceramic Society's Young Professional Award, the IEEE's Region 10 Award for outstanding contribution in Educational Activities, Leadership Excellence Women's Award in University Professor category (Middle East), Research Excellence Award for quality publishing/authorship from Princess Nourah University and several other best paper presentation awards.

Dr. Urooj is serving as an active volunteer of Institute of Electrical & Electronics Engineering-IEEE in various capacities. She is the Chairperson of Education Society Chapter of the IEEE Saudi Arabia Section. She has served IEEE Delhi Section, India, in various potential positions for about a decade.

西瑪·拉瓦特博士 人工智慧與數據科學創新與創業教授
西瑪·拉瓦特博士是印度阿米提大學（Amity University Uttar Pradesh Noida）資訊科技系的教授，並且是一位傑出的學者與研究者。她專精於深度學習、人工智慧、數據科學、機器學習及雲端計算。

西瑪博士擁有計算機科學與工程的博士及碩士學位，並在印度及國外的頂尖工程學院擁有20年的教學經驗。她的研究成果卓越，發表了多篇高影響力的SCI期刊論文及Scopus索引的研究論文/書籍章節。她已發表70多篇研究論文，與Elsevier及Springer合作出版書籍，並擁有超過15項印度專利。她擔任多本書籍的編輯及頂尖Scopus索引期刊的審稿人，並指導5名印度的博士生及2名外國博士研究生。

她積極參與專業組織，如IEEE、ACM及CSI。除了學術及研究成就外，西瑪博士於2019年獲得印度政府科技部（DST）頒發的教職創新卓越獎，並積極貢獻於人工智慧研究、創新及創業。她作為北方邦創業委員會（WICCI）的副主席，對現實世界產生了深遠的影響。她同時擔任DeetyaSoft、Ennoble IP及MyDigital360的高級技術顧問。

尼魯·喬希·阿胡賈博士 電腦科學學院教授及副院長（學術），UPES，德拉敦，烏塔拉坎德，印度
尼魯·喬希·阿胡賈博士是UPES德拉敦電腦科學學院的教授及副院長（學術）。她於2010年獲得博士學位，專注於開發基於規則的專家系統以解釋地震數據。擁有超過24年的教學、研究及專案開發經驗，她領導了多個以人工智慧及機器學習為驅動的專案，解決現實世界的挑戰。

從2010年到2017年，她擔任計算研究所所長，促進跨學科研究。她成功交付了超過1500萬印度盧比的研發專案，資金來自印度政府科技部（DST）。她目前的研究重點是針對學習障礙的基於人工智慧的輔導工具及一種人工智慧驅動的蛇捕捉器。她已指導10名博士生，並目前指導另外五名。

阿胡賈博士獲得了多項榮譽，包括喜馬拉雅女性力量獎（2020）、IGEN女性成就獎（2021）、領先女性研究者獎（2022）及UCOST的研究表彰（2022）。她曾在國內外論壇擔任受邀演講者，並在WHO的輔助產品推廣及DST的CORE專案專家委員會等關鍵委員會中任職。她還曾主持會議會議及各種學術小組。

她的研究興趣包括機器學習、智能輔導系統、人工智慧、專家系統、資訊通信技術及面向對象的開發。她是IEEE、ACM及ACM-Women的活躍成員。對創新教學及學生參與充滿熱情，她強調超越課堂界限的整體學習。

阿維塔·卡塔爾博士 副教授及計畫負責人，UPES電腦科學學院，德拉敦，烏塔拉坎德，印度
阿維塔·卡塔爾博士是雲端計算、物聯網（IoT）及人工智慧領域的知名學者與研究者。她擁有雲端計算領域的博士學位，並完成了計算機科學工程的碩士及學士學位。

阿維塔·卡塔爾博士目前是印度德拉敦石油與能源研究大學（UPES）電腦科學學院的副教授。她擔任計算機科學與工程學士學位課程的計畫負責人，專注於雲端計算及虛擬化技術。阿維塔·卡塔爾博士擁有學術實踐的研究生證書（PGCAP），提升了她的教育專業知識。擁有超過十年的研究經驗，卡塔爾博士在雲端計算環境中對先進算法及系統的開發做出了重要貢獻，特別關注優化技術、資源管理及雲端安全。

卡塔爾博士在知名國際期刊及會議上發表了大量論文，其工作因創新及實用應用而受到認可。她還擔任多個知名期刊及會議的審稿人，展現了她在雲端計算、物聯網及人工智慧領域的領導力及專業知識。她目前的研究旨在縮小理論進展與其在現實雲基礎設施中實施之間的差距，特別是在可擴展性、可靠性及效率的背景下。

普拉維恩·庫馬爾博士 阿斯塔納IT大學主任及教授，哈薩克斯坦阿斯塔納
普拉維恩·庫馬爾博士擁有計算機科學與工程的博士及碩士學位。目前，他在哈薩克斯坦阿斯塔納IT大學擔任主任及教授，擁有超過18年的教學及研究經驗。他因在人工智慧及機器學習方面的傑出貢獻而獲得最佳博士論文獎、最佳研究者獎及印度機器學習學會的會員資格，並受到西孟加拉邦政府的認可。他的研究領域包括大數據分析、數據挖掘、機器學習等。

他擁有10項專利/著作權，並在國際期刊及會議上發表了超過140篇研究論文（Scopus索引），其Scopus H指數為16。他正在指導五名博士研究生，專注於人工智慧、大數據分析及數據挖掘。他曾在Jamia Millia Islamia大學、德里大學的Maharaja Agrasen學院、越南的Duy Tan大學、法國的ECE等地發表受邀演講及客座講座。他曾作為TPC成員及會議主席參與全球多個會議。

他曾訪問過烏茲別克斯坦、日本東京、英國倫敦、法國巴黎、越南岘港、杜拜、俄羅斯及哈薩克斯坦等多個國家。他是IEEE的高級會員，IETE的終身會員，ACM及IET（英國）等知名技術社團的成員。他與多家企業合作，並擔任DeetyaSoft Pvt. Ltd. Noida、IVRguru、MyDigital360等公司的技術顧問。

沙巴娜·尤魯吉博士 工程學院教授，努拉·賓特·阿卜杜拉赫曼公主大學
沙巴娜·尤魯吉博士（IEEE高級會員）目前在沙烏地阿拉伯利雅德的努拉·賓特·阿卜杜拉赫曼公主大學工程學院擔任全職教授。尤魯吉博士持續為社會的技術及專業發展做出貢獻。她在印度阿里格爾穆斯林大學獲得電機工程學士學位及電機工程（儀器與控制）碩士學位，並在印度德里Jamia Millia Islamia（中央大學）獲得博士學位。她在工業界工作了三年，並在教學機構任教超過20年。

她已撰寫及共同撰寫超過250篇研究文章，這些文章發表在高品質的國際期刊、知名會議論文集及優質書籍中。她成功完成了多項知名期刊及多家優質出版商的編輯工作，目前擔任《能源研究前沿》的副編輯。她曾擔任知名期刊《IEEE Sensors Journal》的副編輯。

她曾獲得Springer的教學與研究卓越獎、美國陶瓷學會的青年專業人士獎、IEEE第10區教育活動傑出貢獻獎、中東地區大學教授類別的領導卓越女性獎、努拉公主大學的研究卓越獎及多項最佳論文發表獎。

尤魯吉博士在IEEE的各種職位中擔任活躍志工。她是IEEE沙烏地阿拉伯分會教育學會章的主席，並在過去十年中在IEEE德里分會擔任多個重要職位。