Machine Learning and Data Science: Fundamentals and Applications (Hardcover)

Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms.

These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.

The outstanding new volume focuses on the latest developments in machine learning and data science, as well as on the synergy between data science and machine learning. This book explores new developments in statistics, mathematics and computing that are relevant for data science from a machine learning perspective, including foundations, systems, innovative applications and other research contributions related to the overall design of machine learning and models and algorithms that are relevant for data science.

The book encompasses all aspects of research and development in ML and DS, including but not limited to data discovery, computer vision, natural language processing (NLP), intelligent systems, neural networks, AI-based software engineering, bioinformatics and their applications in the areas of engineering, business and social sciences. It covers a broad spectrum of applications in the community, from industry, government, and academia. Whether for the veteran engineer or scientist, the student, or a manager or other technician working in the field, this volume is a must-have for any library.

機器學習（ML）和數據科學（DS）是非常活躍且範圍廣泛的話題，無論在理論還是應用方面都如此。它們已經成為一個重要的新興科學領域和範式，推動統計學、計算科學和智能科學等學科的研究進化，並在科學、工程、公共部門、商業、社會科學和生活方式等領域進行實際轉化。同時，它們的應用提供了重要的挑戰，通常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廣泛的領域。它們還應對相關的新科學挑戰，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的整合分析，以實現更好的決策、協作和價值創造。

這本傑出的新書聚焦於機器學習和數據科學的最新發展，以及數據科學和機器學習之間的協同作用。本書探討了統計學、數學和計算方面的新發展，這些對於從機器學習角度來看的數據科學是相關的，包括基礎、系統、創新應用和其他與機器學習整體設計以及與數據科學相關的模型和算法的研究貢獻。

本書涵蓋了機器學習和數據科學研究和開發的所有方面，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、基於人工智能的軟件工程、生物信息學以及它們在工程、商業和社會科學領域的應用。它涵蓋了社區、工業、政府和學術界的廣泛應用。無論是對於資深工程師或科學家、學生還是在該領域工作的經理或其他技術人員，這本書都是任何圖書館必備的資料。

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博士畢業於印度Uttar Pradesh Technical University的計算機科學工程學士學位，並在ABV-IIITM的Gwalior取得碩士學位。他也在IKG-Punjab Technical University取得博士學位。他擁有超過十年的研究和教學經驗。他曾在奧地利克拉根福大學ITEC系的博士後研究員，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50多篇研究論文。他是IET研究學會的終身會員，也是許多高聲譽期刊的審稿人和編輯成員，並擔任許多國際會議的技術計畫委員會成員。

Charu Gupta博士以榮譽畢業的方式獲得計算機科學和工程的學士和碩士學位。她在印度Rajasthan的Banasthali Vidyapith計算機科學系完成了博士學位。目前她是Bhagwan Parshuram Institute of Technology的助理教授，擁有超過十年的教學經驗。她是國際自由和開源軟件中心（ICFOSS）的自由和開源軟件細胞（FOSS cell）的德里區域教師協調員，該中心隸屬於印度喀拉拉邦政府。她還是與印度孟買的IIT合作在BPIT的計算機科學和工程系設立e-Yantra實驗室的計畫協調員。她在科學和學術期刊上發表了許多論文。

Vishu Madaan博士在印度Phagwara的Lovely Professional University獲得計算機科學工程的學士和碩士學位，並在IKG-Punjab Technical University取得博士學位。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30多篇研究文章。她還是IEEE的成員，並擔任許多國際會議和技術期刊的審稿人。

Anand Sharma博士在MUST的Lakshmangarh獲得工程學博士學位，並在ABV-IIITM的Gwalior取得碩士學位，以及在RGPV的Bhopal取得學士學位。他在Mody University of Science and Technology的Lakshmangarh工作超過十年，擁有超過14年的教學和研究經驗。他在信息系統、信息安全、物聯網、知識管理和機器學習等領域開展了先驅性的研究。他是CSI-Lakshmangarh分會的副主席，也是CSI-MUST學生分會的學生分會協調員。他撰寫或編輯了五本書，並在科學和學術期刊以及會議上發表了70多篇論文。他組織了15多個會議、研討會和工作坊，並擔任多個期刊的編輯委員會成員，以及多個國際會議的計畫委員會成員。

Nisheeth Joshi博士是印度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ISTE-U.P.政府頒發的傑出工程和技術領域工作的國家獎。他在科學和技術期刊以及會議上撰寫了多篇論文。他還是各種初創企業的導師和顧問，這些企業從事認知計算、自然語言處理、語音處理、多模式信息檢索和機器翻譯等領域的工作。他還曾擔任C-DAC Pune的顧問，為Mantra機器翻譯系統開發了評估方法。該機器翻譯系統被印度國會上議院Rajya Sabha和印度政府的官方語言部門使用。