Cross Reality And Data Science In Engineering

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Cross Reality and Data Science in Engineering

Author : Michael E. Auer
Publisher : Springer Nature
ISBN 13 : 3030525759
Total Pages : 1036 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Cross Reality and Data Science in Engineering by : Michael E. Auer

Download or read book Cross Reality and Data Science in Engineering written by Michael E. Auer and published by Springer Nature. This book was released on 2020-08-20 with total page 1036 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, online technologies are at the core of most fields of engineering and society as a whole . This book discusses the fundamentals, applications and lessons learned in the field of online and remote engineering, virtual instrumentation, and other related technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects. Since the first Remote Engineering and Virtual Instrumentation (REV) conference in 2004, the event has focused on the use of the Internet for engineering tasks, as well as the related opportunities and challenges. In a globally connected world, interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In this context, the REV conferences discuss fundamentals, applications and experiences in the field of Online and Remote Engineering as well as Virtual Instrumentation. Furthermore, the conferences focus on guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and open resources. This book presents the proceedings of REV2020 on “Cross Reality and Data Science in Engineering” which was held as the 17th in series of annual events. It was organized in cooperation with the Engineering Education Transformations Institute and the Georgia Informatics Institutes for Research and Education and was held at the College of Engineering at the University of Georgia in Athens (GA), USA, from February 26 to 28, 2020.

Cross Reality and Data Science in Engineering

Author :
Publisher :
ISBN 13 : 9783030525767
Total Pages : 1043 pages
Book Rating : 4.5/5 (257 download)

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Book Synopsis Cross Reality and Data Science in Engineering by :

Download or read book Cross Reality and Data Science in Engineering written by and published by . This book was released on 2021 with total page 1043 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, online technologies are at the core of most fields of engineering and society as a whole . This book discusses the fundamentals, applications and lessons learned in the field of online and remote engineering, virtual instrumentation, and other related technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects. Since the first Remote Engineering and Virtual Instrumentation (REV) conference in 2004, the event has focused on the use of the Internet for engineering tasks, as well as the related opportunities and challenges. In a globally connected world, interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In this context, the REV conferences discuss fundamentals, applications and experiences in the field of Online and Remote Engineering as well as Virtual Instrumentation. Furthermore, the conferences focus on guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and open resources. This book presents the proceedings of REV2020 on "Cross Reality and Data Science in Engineering" which was held as the 17th in series of annual events. It was organized in cooperation with the Engineering Education Transformations Institute and the Georgia Informatics Institutes for Research and Education and was held at the College of Engineering at the University of Georgia in Athens (GA), USA, from February 26 to 28, 2020.

Online Engineering and Society 4.0

Author : Michael E. Auer
Publisher : Springer Nature
ISBN 13 : 3030825299
Total Pages : 584 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Online Engineering and Society 4.0 by : Michael E. Auer

Download or read book Online Engineering and Society 4.0 written by Michael E. Auer and published by Springer Nature. This book was released on 2021-09-19 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the general objective of the REV2021 conference which is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation, and other related new technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects. Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparably connected, for example, with Internet of Things, Industry 4.0 & Industrial Internet of Things, Cloud Technologies, Data Science, Cross & Mixed Reality, Remote Working Environments, Online & Biomedical Engineering, to name only a few. Since the first REV conference in 2004, we tried to focus on the upcoming use of the Internet for engineering tasks and the opportunities as well as challenges around it. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and Open Resources. REV2021 on "Online Engineering and Society 4.0" was the 17th in a series of annual events concerning the area of Remote Engineering and Virtual Instrumentation. It has been organized in cooperation with the International Engineering and Technology Institute (IETI) as an online event from February 24 to 26, 2021.

Artificial Intelligence and Online Engineering

Author : Michael E. Auer
Publisher : Springer Nature
ISBN 13 : 3031170911
Total Pages : 691 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Artificial Intelligence and Online Engineering by : Michael E. Auer

Download or read book Artificial Intelligence and Online Engineering written by Michael E. Auer and published by Springer Nature. This book was released on 2022-10-14 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparable connected for example with Internet of Things & Industrial Internet of Things (Industry 4.0), Online & Biomedical Engineering, Data Science, Machine Learning, and Artificial Intelligence, Cross & Mixed Reality, and Remote Working Environments. to name only a few. Since the first REV conference in 2004, we tried to focus on the upcoming use of the Internet for engineering tasks and the opportunities as well as challenges around it. Consequently, the motto of this year’s REV2022 was “Artificial Intelligence and Online Engineering”. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation and other related new technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber-Security, and M2M & Smart Objects. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and Open Resources. REV2022 was the 19th in a series of annual events concerning the area of Online Engineering. It has been organized in cooperation with The British University in Egypt (BUE), Cairo, as a hybrid event from February 28 until March 02, 2022.

Open Science in Engineering

Author : Michael E. Auer
Publisher : Springer Nature
ISBN 13 : 3031424670
Total Pages : 1125 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Open Science in Engineering by : Michael E. Auer

Download or read book Open Science in Engineering written by Michael E. Auer and published by Springer Nature. This book was released on 2023-12-31 with total page 1125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The REV Conference is the annual conference of the International Association of Online Engineering (IAOE) together with the Global Online Laboratory Consortium (GOLC). REV 2023 is the 20th in a series of annual events concerning the area of online engineering, cyber-physical systems and Internet of things, including remote engineering and virtual instrumentation. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of online and remote engineering, virtual instrumentation, and other related new technologies, including: Cross-reality Open Science Internet of Things and Industrial Internet of Things Industry 4.0 Cyber-security M2M and smart objects.

Perspectives on Learning Analytics for Maximizing Student Outcomes

Author : Durak, Gürhan
Publisher : IGI Global
ISBN 13 : 1668495287
Total Pages : 479 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Perspectives on Learning Analytics for Maximizing Student Outcomes by : Durak, Gürhan

Download or read book Perspectives on Learning Analytics for Maximizing Student Outcomes written by Durak, Gürhan and published by IGI Global. This book was released on 2023-10-24 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maximizing student outcomes in education presents a significant challenge, as traditional assessment methods often fall short in providing actionable insights for improvement. Perspectives on Learning Analytics for Maximizing Student Outcomes addresses this challenge by offering a comprehensive solution. Edited by esteemed scholars Gürhan Durak and Serkan Çankaya, this book provides innovative knowledge and practical experiences on emerging technologies and processes in learning analytics. It covers topics such as data collection, visualization, predictive analytics, and ethical considerations, serving as a guide for academic scholars, technology enthusiasts, and educational institutions. This book empowers professionals and researchers to leverage learning analytics effectively, enabling data-informed decision-making, improved teaching practices, and tailored educational programs. By presenting best practices and future directions, it equips readers with the necessary tools to optimize learning environments and drive student success. With a focus on the transformative potential of learning analytics, this book propels education toward a more efficient and effective system that prioritizes student outcomes.

Smart Education and e-Learning 2021

Author : Vladimir L. Uskov
Publisher : Springer Nature
ISBN 13 : 9811628343
Total Pages : 506 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Smart Education and e-Learning 2021 by : Vladimir L. Uskov

Download or read book Smart Education and e-Learning 2021 written by Vladimir L. Uskov and published by Springer Nature. This book was released on 2021-06-05 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the contributions presented at the 8th International KES Conference on Smart Education and e-Learning (KES SEEL 2021), which being held as a virtual conference on June 14–16, 2021. It contains high-quality peer-reviewed papers that are grouped into several interconnected parts: smart education; smart e-learning; smart education: systems and technology; smart education: case studies and research; digital education and economics in smart university, smart university development: organizational, managerial and social Issues; smart universities and their Impact on students with disabilities. This book serves as a useful source of research data and valuable information on current research projects, best practices, and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners— all those who are interested in smart education and smart e-learning.

Augmenting Collaboration - Impact of Augmented Reality on Collaborative Problem-Solving Processes

Author : Nina Schiffeler
Publisher : Apprimus Wissenschaftsverlag
ISBN 13 : 3863599861
Total Pages : 228 pages
Book Rating : 4.8/5 (635 download)

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Book Synopsis Augmenting Collaboration - Impact of Augmented Reality on Collaborative Problem-Solving Processes by : Nina Schiffeler

Download or read book Augmenting Collaboration - Impact of Augmented Reality on Collaborative Problem-Solving Processes written by Nina Schiffeler and published by Apprimus Wissenschaftsverlag. This book was released on 2021-07-02 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diese Arbeit untersucht die Auswirkungen von Augmented Reality (AR) auf kollaborative Problemlöseprozesse und fokussiert dabei die Kollaborateure sowie das Konzept zur effektiven Gestaltung und Integration von AR in kollaborative Setting zur Lösung komplexer Probleme. Als Ergebnis werden Aussagen und Leitlinien vorgestellt, die die Auswirkungen von AR auf das Verhalten der Teams während der Kollaboration sowie auf den Fortschritt und die Durchführung des Problemlöseprozesses beschreiben.

Advanced Manufacturing Techniques for Engineering and Engineered Materials

Author : Thanigaivelan, R.
Publisher : IGI Global
ISBN 13 : 1799895769
Total Pages : 351 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Advanced Manufacturing Techniques for Engineering and Engineered Materials by : Thanigaivelan, R.

Download or read book Advanced Manufacturing Techniques for Engineering and Engineered Materials written by Thanigaivelan, R. and published by IGI Global. This book was released on 2022-03-11 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology advances, it is imperative to stay current in the newest developments made within the engineering industry and within material sciences. Trends in manufacturing such as 3D printing, casting, welding, surface modification, computer numerical control (CNC), non-traditional, Industry 4.0 ergonomics, and hybrid machining methods must be closely examined to utilize these important resources for the betterment of society. Advanced Manufacturing Techniques for Engineering and Engineered Materials provides a unified and complete overview about the recent and emerging trends, developments, and associated technology with scope for the commercialization of techniques specific to manufacturing materials. This book also reviews the various machining methods for difficult-to-cut materials and novel materials including matrix composites. Covering topics such as agro-waste, conventional machining, and material performance, this book is an essential resource for researchers, engineers, technologists, students and professors of higher education, industry workers, entrepreneurs, researchers, and academicians.

Learning with Technologies and Technologies in Learning

Author : Michael E. Auer
Publisher : Springer Nature
ISBN 13 : 3031042867
Total Pages : 701 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Learning with Technologies and Technologies in Learning by : Michael E. Auer

Download or read book Learning with Technologies and Technologies in Learning written by Michael E. Auer and published by Springer Nature. This book was released on 2022-09-12 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: Education has always been one of the cornerstones for societal evolution and economic growth. We are currently witnessing a significant transformation in the development of education and especially post-secondary education. The use of technology impacts the way educational content is presented and acquired in many areas. The designs of immersive educational worlds and the combination of rational and emotional educational experiences that cannot be designed in the same way in the traditional classroom will come increasingly into focus. Seen in this way the book also contributes to generalize the experience of the COVID-19 crisis and its impact to quality of learning and education. Scientifically based statements as well as excellent experiences (best practice) are necessary. This book contains scientific papers in the fields of: The future of learning Eruptive technologies in learningPedagogy of online learning Deep learning vs machine learning: opportunities and challengesReimagining and rapid transition of learning Interested readership includes policymakers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning industry, further and continuing education lecturers, etc.

Smart Technologies for a Sustainable Future

Author : Michael E. Auer
Publisher : Springer Nature
ISBN 13 : 3031619056
Total Pages : 450 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Smart Technologies for a Sustainable Future by : Michael E. Auer

Download or read book Smart Technologies for a Sustainable Future written by Michael E. Auer and published by Springer Nature. This book was released on with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Digital Twins

Author : Zhihan Lyu
Publisher : CRC Press
ISBN 13 : 1003850804
Total Pages : 923 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Handbook of Digital Twins by : Zhihan Lyu

Download or read book Handbook of Digital Twins written by Zhihan Lyu and published by CRC Press. This book was released on 2024-05-29 with total page 923 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last two decades, Digital Twins (DTs) have become the intelligent representation of future development in industrial production and daily life. Consisting of over 50 chapters by more than 100 contributors, this comprehensive handbook explains the concept, architecture, design specification and application scenarios of DTs. As a virtual model of a process, product or service to pair the virtual and physical worlds, DTs allow data analysis and system monitoring by using simulations. The fast-growing technology has been widely studied and developed in recent years. Featured with centralization, integrity and dynamics, it is cost-effective to drive innovation and performance. Many fields saw the adaptation and implementation across industrial production, healthcare, smart city, transportation and logistics. World-famous enterprises such as Siemens, Tesla, ANSYS and General Electric have built smart factories and pioneered digital production, heading towards Industry 4.0. This book aims to provide an in-depth understanding and reference of DTs to technical personnel in the field, students and scholars of related majors, and general readers interested in intelligent industrial manufacturing.

Augmented and Virtual Reality

Author : Lucio Tommaso De Paolis
Publisher : Springer
ISBN 13 : 3319228889
Total Pages : 516 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Augmented and Virtual Reality by : Lucio Tommaso De Paolis

Download or read book Augmented and Virtual Reality written by Lucio Tommaso De Paolis and published by Springer. This book was released on 2015-08-14 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Augmented and Virtual Reality, AVR 2015, held in Lecce, Italy, in September 2015. The 32 papers and 8 short papers presented were carefully reviewed and selected from 82 submissions. The SALENTO AVR 2015 conference brings together a community of researchers from academia and industry, computer scientists, engineers, and physicians in order to share points of views, knowledge, experiences, and scientific and technical results related to state-of-the-art solutions and technologies on virtual and augmented reality applications for medicine, cultural heritage, education, industrial sectors, as well as the demonstration of advanced products and technologies.

Cross Reality (XR) and Immersive Learning Environments (ILEs) in Education

Author : Minjuan Wang
Publisher : Taylor & Francis
ISBN 13 : 1000999920
Total Pages : 174 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Cross Reality (XR) and Immersive Learning Environments (ILEs) in Education by : Minjuan Wang

Download or read book Cross Reality (XR) and Immersive Learning Environments (ILEs) in Education written by Minjuan Wang and published by Taylor & Francis. This book was released on 2023-11-14 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely volume highlights the novel ways in which cutting-edge virtual and augmented reality (VR and AR) technology is being used in STEM education. Today, there are many exciting advances occurring in Immersive Learning Environments (ILEs) and innovative applications in STEM education. Recent breakthroughs in technologies such VR, AR, and Mixed Reality (MR) as well as Cross Reality (XR) that leverages VR, AR, and MR are finally making it feasible for educators in STEM to adopt ILEs in their classrooms in a scalable manner. Edited by experienced XR researchers in STEM education, Wang, Ryoo, and Winkelmann, the book focuses on the use of ILEs for creating experiences that excite, inspire, and engage learners in STEM disciplines. Chapters include research studies and practical applications addressing the challenges and opportunities associated with adopting technologies. This book covers the entire spectrum of immersive platform types and ILEs such as desktop, mobile, wearable, and room-based. It helps advance research and practice in the novel adoption of ILE technologies into STEM education from technical, theoretical/conceptual, empirical, and/or methodological perspectives. Cross Reality (XR) and Immersive Learning Environments (ILE) in Education will be a key resource for academics, researchers, and advanced students of education, STEM education, instructional design and technology, educational research, educational technology, research methods, information and communications technology, and curriculum and instruction. This book was originally published as a special issue of Interactive Learning Environments.

Data Science

Author : Zhiwen Yu
Publisher : Springer Nature
ISBN 13 : 9819959713
Total Pages : 475 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Data Science by : Zhiwen Yu

Download or read book Data Science written by Zhiwen Yu and published by Springer Nature. This book was released on 2023-09-14 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1879 and 1880) constitutes the refereed proceedings of the 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023 held in Harbin, China, during September 22–24, 2023. The 52 full papers and 14 short papers presented in these two volumes were carefully reviewed and selected from 244 submissions. The papers are organized in the following topical sections: Part I: Applications of Data Science, Big Data Management and Applications, Big Data Mining and Knowledge Management, Data Visualization, Data-driven Security, Infrastructure for Data Science, Machine Learning for Data Science and Multimedia Data Management and Analysis. Part II: Data-driven Healthcare, Data-driven Smart City/Planet, Social Media and Recommendation Systems and Education using big data, intelligent computing or data mining, etc.

Data Engineering and Data Science

Author : Kukatlapalli Pradeep Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1119841976
Total Pages : 367 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Data Engineering and Data Science by : Kukatlapalli Pradeep Kumar

Download or read book Data Engineering and Data Science written by Kukatlapalli Pradeep Kumar and published by John Wiley & Sons. This book was released on 2023-08-29 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: DATA ENGINEERING and DATA SCIENCE Written and edited by one of the most prolific and well-known experts in the field and his team, this exciting new volume is the “one-stop shop” for the concepts and applications of data science and engineering for data scientists across many industries. The field of data science is incredibly broad, encompassing everything from cleaning data to deploying predictive models. However, it is rare for any single data scientist to be working across the spectrum day to day. Data scientists usually focus on a few areas and are complemented by a team of other scientists and analysts. Data engineering is also a broad field, but any individual data engineer doesn’t need to know the whole spectrum of skills. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information. In this exciting new volume, the team of editors and contributors sketch the broad outlines of data engineering, then walk through more specific descriptions that illustrate specific data engineering roles. Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This book brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library.

Foundations of Data Science for Engineering Problem Solving

Author : Parikshit Narendra Mahalle
Publisher : Springer Nature
ISBN 13 : 9811651604
Total Pages : 125 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Foundations of Data Science for Engineering Problem Solving by : Parikshit Narendra Mahalle

Download or read book Foundations of Data Science for Engineering Problem Solving written by Parikshit Narendra Mahalle and published by Springer Nature. This book was released on 2021-08-21 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.