Computational Statistical Methodologies and Modeling for Artificial Intelligence
Harjule, Priyanka, Rahman, Azizur, Agarwal, Basant
商品描述
This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence. It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering.
The key features of this book are:
- Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial Intelligence
- Examines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applications
- Examines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionals
- Provides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fields
- Integrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence
商品描述(中文翻譯)
本書涵蓋了基於計算統計的人工智慧方法。本書的目標是通過不同類型的數學建模和統計技術的應用，全面介紹基礎知識並描述它們在不同人工智慧系統中的應用。本書的主要讀者包括研究人員、學者、研究生和數據科學、數學建模和人工智慧領域的專家。它也將成為電氣、計算機和光學工程等領域的其他人的寶貴資源。
本書的主要特點包括：
- 提供了幾個真實世界問題應用和計算統計和數學建模在人工智慧領域的實驗研究的發展
- 檢視了基礎研究如何演變為工業化研究，應用調查如何轉化為實時應用
- 探討了涉及分析和統計解決方案的應用，並為初學者和行業專業人士提供基礎和高級概念
- 提供了計算統計概念的動態視角，用於數據分析和智能系統應用，以確保各個領域的不同利益相關者的可持續性問題的便利性
- 通過應用數學建模和統計技術，整合了最新的方法和挑戰，用於人工智慧領域。
作者簡介
Priyanka Harjule is currently working as an Assistant Professor at the Indian Institute of Information Technology Kota (IIIT-Kota), India. She holds a Ph.D. from the Department of Mathematics, MNIT Jaipur under the Technical Education Quality Improvement Programme (TEQIP-II) fellowship. She has worked on text classification problems with different machine learning classifiers. Her recent research work includes the analysis of survey data on online education using various statistical techniques. Her research interests include Special functions, Fractional calculus, Mathematical and Statistical Modelling, Machine learning, and Image Processing.
Azizur Rahman, PhD, is an applied statistician and data scientist with expertise in both developing and applying novel methodologies, models and technologies. He is the Leader of the "Statistics and Data Mining Research Group" at Charles Sturt University. Azizur earned his Ph.D. from UC and worked at several universities, including the University of Adelaide. He has more than 150 publications, including a few books. The Australian Federal and State Governments fund his research, and he serves on a range of editorial boards. His academic excellence has also been well recognised with several awards, including the best research award by the World Business Institute and research excellence and RED Achievement awards at CSU.
Basant Agarwal is an Assistant Professor at the Indian Institute of Information Technology Kota (IIIT-Kota), India. He holds a Ph.D. and M.Tech. from the Department of Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, India. He has more than 9 years of experience in research and teaching. He has worked as a Postdoc Research Fellow at the Norwegian University of Science and Technology (NTNU), Norway, under the prestigious ERCIM (European Research Consortium for Informatics and Mathematics) fellowship in 2016. He has also worked as a Research Scientist at Temasek Laboratories, National University of Singapore (NUS), Singapore. His research interest is in Artificial Intelligence, Cyber-physical systems, Text mining, Natural Language Processing, Machine learning, Deep learning, Intelligent Systems, Expert Systems, and related areas.
Vinita Tiwari is currently is an Assistant Professor in the Department of Electronics and Communication, the Indian Institute of Information Technology Kota (IIIT-Kota). She received her B.Tech degree in Electronics and Communication Engineering from M.B.M Engineering collage, Jodhpur followed by a Master's and a Ph.D. degree in Communication Engineering and High-Speed Optical Communication respectively under the faculty development program of BITS-Pilani, Pilani Campus. She has almost fourteen years of experience in teaching and research. Her research interest includes high-speed optical link designs, advanced modulation techniques, Soliton communication, mathematical modeling, blockchain, etc.
作者簡介(中文翻譯)
Priyanka Harjule目前在印度信息技術協會科塔分校（IIIT-Kota）擔任助理教授。她在MNIT Jaipur的數學系獲得了博士學位，並獲得了技術教育質量改進計劃（TEQIP-II）的獎學金。她曾使用不同的機器學習分類器進行文本分類問題的研究。她最近的研究工作包括使用各種統計技術分析在線教育的調查數據。她的研究興趣包括特殊函數、分數微積分、數學和統計建模、機器學習和圖像處理。
Azizur Rahman博士是一位應用統計學家和數據科學家，擅長開發和應用新方法、模型和技術。他是查爾斯特斯特大學（Charles Sturt University）的“統計和數據挖掘研究小組”的負責人。Azizur在UC獲得了博士學位，並在多所大學工作，包括阿德萊德大學。他發表了150多篇論文，包括幾本書籍。澳大利亞聯邦和州政府資助他的研究，他還擔任多個編輯委員會的成員。他的學術卓越也得到了多個獎項的肯定，包括世界商業研究所的最佳研究獎和查爾斯特斯特大學的研究卓越和RED成就獎。
Basant Agarwal是印度信息技術協會科塔分校（IIIT-Kota）的助理教授。他在印度馬拉維亞國家技術學院（Malaviya National Institute of Technology Jaipur）的計算機科學與工程系獲得了博士和碩士學位。他在研究和教學方面擁有超過9年的經驗。他曾於2016年在挪威科技大學（NTNU）擔任博士後研究員，並獲得了著名的ERCIM（歐洲研究聯盟）獎學金。他還曾在新加坡國立大學（NUS）的Temasek實驗室擔任研究科學家。他的研究興趣包括人工智能、物聯網系統、文本挖掘、自然語言處理、機器學習、深度學習、智能系統、專家系統等相關領域。
Vinita Tiwari目前是印度信息技術協會科塔分校（IIIT-Kota）電子與通信系的助理教授。她在M.B.M Engineering collage, Jodhpur獲得了電子與通信工程的學士學位，並在BITS-Pilani, Pilani Campus的教師發展計劃下獲得了碩士和博士學位，專業是通信工程和高速光通信。她在教學和研究方面擁有近十四年的經驗。她的研究興趣包括高速光纜設計、先進調製技術、Soliton通信、數學建模、區塊鏈等。
