Machine Learning and Data Science: Fundamentals and Applications (Hardcover)
暫譯: 機器學習與資料科學：基礎與應用（精裝版）

機器學習（ML）和數據科學（DS）是非常活躍的主題，涵蓋了廣泛的範疇，無論是在理論還是應用方面。它們已經被確立為一個重要的新興科學領域和範式，推動了統計學、計算科學和智能科學等學科的研究演變，以及在科學、工程、公共部門、商業、社會科學和生活方式等領域的實際轉型。同時，它們的應用提供了重要的挑戰，這些挑戰往往只能通過創新的機器學習和數據科學算法來解決。

這些算法涵蓋了人工智能、數據分析、機器學習、模式識別、自然語言理解和大數據處理等更大範疇。它們還解決了相關的新科學挑戰，範圍從數據捕獲、創建、存儲、檢索、共享、分析、優化和可視化，到跨異質和相互依賴的複雜資源進行綜合分析，以促進更好的決策、協作，最終實現價值創造。

這本出色的新書專注於機器學習和數據科學的最新發展，以及數據科學與機器學習之間的協同效應。本書從機器學習的角度探討了與數據科學相關的統計學、數學和計算的最新發展，包括基礎、系統、創新應用以及與機器學習的整體設計和與數據科學相關的模型和算法的其他研究貢獻。

本書涵蓋了機器學習和數據科學研究與開發的各個方面，包括但不限於數據發現、計算機視覺、自然語言處理（NLP）、智能系統、神經網絡、基於人工智能的軟體工程、生物信息學及其在工程、商業和社會科學領域的應用。它涵蓋了社區中從行業、政府到學術界的廣泛應用。無論是資深工程師或科學家、學生，還是從事該領域的經理或其他技術人員，這本書都是任何圖書館的必備之作。

Prateek Agrawal, PhD, completed his BTech in computer science engineering from Uttar Pradesh Technical University, Lucknow, India and MTech from ABV-IIITM, Gwalior, India. He also received his PhD from IKG-Punjab Technical University, Punjab, India. He has more than ten years of research and teaching experience. He has worked as a post-doctoral researcher at the department of ITEC, University of Klagenfurt, Austria and also serves as an associate professor in the school of computer science engineering, Lovely Professional University, India. He has authored more than 50 research papers in various peer reviewed journals and conferences. He is a life member of IET research society. He is a reviewer and editorial member of many journals of high repute. He also served as technical program committee member of many international conferences.

Charu Gupta, PhD, graduated with her BE and MTech in computer science and engineering, with honors. She completed her doctoral degree at the Department of Computer Science, Banasthali Vidyapith, Rajasthan, India. Presently serving as assistant professor at Bhagwan Parshuram Institute of Technology, she has over 10 years of teaching experience. She is a faculty coordinator (Delhi Section) of Free and Open Source Cell (FOSS cell) from the International Centre for Free and Open Source Software (ICFOSS), Govt. of Kerala, India. She is also the faculty co-ordinator of the e-Yantra Lab setup initiative (eLSI) in collaboration with IIT Bombay in the Department of Computer Science and Engineering, BPIT. She also has numerous papers in scientific and scholarly journals to her credit.

Vishu Madaan, PhD, received her BTech and MTech degrees in computer science engineering from Lovely Professional University, Phagwara, India and earned her PhD in computer science from IKG-Punjab Technical University, Punjab. She is an assistant professor with Lovely Professional University and has more than eight years of teaching and research experience. She has authored more than 30 research articles in peer-reviewed conferences and journals. She is also a member of IEEE and is a reviewer for many international conferences and technical journals.

Anand Sharma, PhD, received his PhD in engineering from MUST, Lakshmangarh, his MTech from ABV-IIITM, Gwalior and BE from RGPV, Bhopal. He has been working with Mody University of Science and Technology, Lakshmangarh for over 10 years and has more than 14 years of experience of teaching and research. He has pioneered research in the areas of information systems, information security, IoT, knowledge management and machine learning. He is the Vice-Chairman of CSI-Lakshmangarh Chapter and Student Branch Coordinator of CSI-MUST, student branch. He has authored or edited five books and has more than 70 papers in scientific and scholarly journals and conferences. He has organized more than 15 conferences, seminars, and workshops and is serving on the editorial boards of several journals as and is on the program committees of several international conferences.

Nisheeth Joshi, PhD, is an associate professor at Banasthali Vidyapith, India. He did his PhD in the area of natural language processing and is the recipient of the prestigious ISTE-U.P. Government National Award for Outstanding Work Done in Specified Areas of Engineering and Technology. He has authored several papers in scientific and technical journals and conferences. He has also been a mentor and consultant to various start-ups working in the areas of cognitive computing, natural language processing, speech processing, multimodal information retrieval and machine translation. He was also a consultant to C-DAC Pune where he developed the evaluation methodology for the Mantra Machine Translation System. This Machine Translation System is being used by Rajya Sabha, the Upper House of Parliament of India and Department of Official Languages, with the Government of India. In addition, he has two technology transfers and four copyrights to his credit.

Prateek Agrawal, PhD, 於印度烏塔爾邦技術大學（Uttar Pradesh Technical University, Lucknow）獲得計算機科學工程的學士學位（BTech），並在印度Gwalior的ABV-IIITM獲得碩士學位（MTech）。他也在印度旁遮普的IKG-Punjab技術大學獲得博士學位（PhD）。他擁有超過十年的研究和教學經驗，曾在奧地利克拉根福大學（University of Klagenfurt）ITEC系擔任博士後研究員，並在印度Lovely Professional University的計算機科學工程學院擔任副教授。他在各種同行評審的期刊和會議上發表了超過50篇研究論文。他是IET研究學會的終身會員，並擔任多個高聲望期刊的審稿人和編輯委員會成員。他還曾擔任多個國際會議的技術程序委員會成員。

Charu Gupta, PhD, 以優異的成績獲得計算機科學與工程的學士（BE）和碩士（MTech）學位。她在印度拉賈斯坦邦的Banasthali Vidyapith計算機科學系完成博士學位。她目前在Bhagwan Parshuram技術學院擔任助理教授，擁有超過10年的教學經驗。她是來自印度喀拉拉邦政府的國際自由與開源軟體中心（ICFOSS）自由與開源小組（FOSS cell）的教職員協調員（德里區）。她也是與印度理工學院孟買分校（IIT Bombay）合作的e-Yantra實驗室設置倡議（eLSI）的教職員協調員。她在科學和學術期刊上發表了多篇論文。

Vishu Madaan, PhD, 於印度Phagwara的Lovely Professional University獲得計算機科學工程的學士（BTech）和碩士（MTech）學位，並在IKG-Punjab技術大學獲得計算機科學的博士學位（PhD）。她是Lovely Professional University的助理教授，擁有超過八年的教學和研究經驗。她在同行評審的會議和期刊上發表了超過30篇研究文章。她也是IEEE的成員，並擔任多個國際會議和技術期刊的審稿人。

Anand Sharma, PhD, 於MUST（Lakshmangarh）獲得工程博士學位（PhD），在ABV-IIITM獲得碩士學位（MTech），並在RGPV（Bhopal）獲得學士學位（BE）。他在Mody科技大學（Mody University of Science and Technology, Lakshmangarh）工作超過10年，擁有超過14年的教學和研究經驗。他在資訊系統、資訊安全、物聯網（IoT）、知識管理和機器學習等領域開創了研究。他是CSI-Lakshmangarh分會的副主席，並擔任CSI-MUST學生分會的學生分會協調員。他已編著或編輯五本書籍，並在科學和學術期刊及會議上發表了超過70篇論文。他組織了超過15場會議、研討會和工作坊，並在多個期刊的編輯委員會中任職，還參與多個國際會議的程序委員會。

Nisheeth Joshi, PhD, 是印度Banasthali Vidyapith的副教授。他在自然語言處理領域獲得博士學位，並獲得了印度U.P.政府頒發的ISTE國家獎，以表彰在特定工程和技術領域的傑出工作。他在科學和技術期刊及會議上發表了多篇論文。他還擔任多家初創公司的導師和顧問，這些公司專注於認知計算、自然語言處理、語音處理、多模態信息檢索和機器翻譯等領域。他曾擔任C-DAC Pune的顧問，開發了Mantra機器翻譯系統的評估方法。該機器翻譯系統目前被印度上議院（Rajya Sabha）和印度政府的官方語言部門使用。此外，他擁有兩項技術轉讓和四項版權。