Computational Statistical Methodologies and Modeling for Artificial Intelligence
暫譯: 人工智慧的計算統計方法與建模
Harjule, Priyanka, Rahman, Azizur, Agarwal, Basant
相關主題
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)
本書涵蓋基於計算統計的人工智慧方法。此書的目的是通過不同類型的數學建模和統計技術的應用，提供對基礎知識的全面介紹，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、研究生以及數據科學、數學建模和人工智慧領域的專家。它也將成為電機、計算機和光學工程領域其他許多人的寶貴資源。
本書的主要特點包括：
- 提出多個現實世界問題應用和計算統計及數學建模在人工智慧領域的實驗研究發展
- 檢視基礎研究向工業化研究的演變，以及應用調查向實時應用的轉變
- 檢視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進階概念
- 提供對計算統計概念的動態視角，以分析數據和在智能系統中的應用，目的是確保可持續性問題，以便不同領域的各方利益相關者能夠輕鬆應對
- 通過採用數學建模和統計技術，整合最新的方法論和挑戰，以應用於人工智慧
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 目前擔任印度信息技術學院科塔分院（IIIT-Kota）的助理教授。她持有來自MNIT Jaipur數學系的博士學位，並在技術教育質量提升計劃（TEQIP-II）獎學金下完成學業。她曾針對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有關線上教育的調查數據。她的研究興趣包括特殊函數、分數微積分、數學與統計建模、機器學習和影像處理。
Azizur Rahman，博士，是一位應用統計學家和數據科學家，專長於開發和應用新穎的方法論、模型和技術。他是查爾斯·斯圖爾特大學「統計與數據挖掘研究小組」的負責人。Azizur 在加州大學獲得博士學位，並曾在多所大學工作，包括阿德萊德大學。他擁有超過150篇的出版物，包括幾本書籍。他的研究由澳大利亞聯邦和州政府資助，並在多個編輯委員會中任職。他的學術成就也獲得了多項獎項的認可，包括世界商業研究所頒發的最佳研究獎以及查爾斯·斯圖爾特大學的研究卓越獎和RED成就獎。
Basant Agarwal 是印度信息技術學院科塔分院（IIIT-Kota）的助理教授。他持有來自馬拉維亞國立技術學院（Malaviya National Institute of Technology Jaipur）計算機科學與工程系的博士和碩士學位。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（歐洲資訊與數學研究聯盟）獎學金。他還曾在新加坡國立大學（NUS）的淡馬錫實驗室擔任研究科學家。他的研究興趣包括人工智慧、網絡物理系統、文本挖掘、自然語言處理、機器學習、深度學習、智能系統、專家系統及相關領域。
Vinita Tiwari 目前是印度信息技術學院科塔分院（IIIT-Kota）電子與通信系的助理教授。她在M.B.M工程學院（Jodhpur）獲得電子與通信工程的學士學位，隨後在比拉尼BITS（BITS-Pilani）校區的教師發展計劃下獲得通信工程和高速光通信的碩士及博士學位。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鏈路設計、先進調變技術、孤子通信、數學建模、區塊鏈等。
