Data Science And Emerging Technologies
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Data Science And Emerging Technologies
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Author : Yap Bee Wah
language : en
Publisher: Springer Nature
Release Date : 2023-03-31
Data Science And Emerging Technologies written by Yap Bee Wah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Technology & Engineering categories.
The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 20–21, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in computational and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but not limited to: artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.
Data Science And Emerging Technologies
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Author : Yap Bee Wah
language : en
Publisher: Springer Nature
Release Date : 2024-04-26
Data Science And Emerging Technologies written by Yap Bee Wah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Computers categories.
The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.
Learning To Love Data Science
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Author : Mike Barlow
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-10-27
Learning To Love Data Science written by Mike Barlow and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-27 with Computers categories.
Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you’ll appreciate how data science is fundamentally altering our world, for better and for worse. Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you’ll find out how far data science reaches. With this anthology, you’ll learn how: Analysts can now get results from their data queries in near real time Indie manufacturers are blurring the lines between hardware and software Companies try to balance their desire for rapid innovation with the need to tighten data security Advanced analytics and low-cost sensors are transforming equipment maintenance from a cost center to a profit center CIOs have gradually evolved from order takers to business innovators New analytics tools let businesses go beyond data analysis and straight to decision-making Mike Barlow is an award-winning journalist, author, and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in a number of industries.
Data Science And Emerging Technologies
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Author : Yap Bee Wah
language : en
Publisher: Springer
Release Date : 2025-10-09
Data Science And Emerging Technologies written by Yap Bee Wah and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-09 with Computers categories.
The book presents selected papers from the Third International Conference on Data Science and Emerging Technologies (DaSET 2024), held hybrid at UNITAR International University. Malaysia, from December 11–12, 2024. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as generative AI, artificial intelligence and blockchain are useful for various domains such as marketing, health care, education, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in generative AI, computational, and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but are not limited to: generative AI, artificial intelligence, machine and deep learning, statistical learning, and health and industrial applications.
Business Models In Emerging Technologies
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Author : Stylianos Kampakis
language : en
Publisher: Business Expert Press
Release Date : 2022-09-27
Business Models In Emerging Technologies written by Stylianos Kampakis and has been published by Business Expert Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-27 with Business & Economics categories.
This book is a practical guide to two of the most important emerging technologies: data science/AI and blockchain. The world of technology progresses so quickly that we often don’t realize how far we’ve come. Over the last 20 years, technologies like data science, artificial intelligence, the Internet of Things, and blockchain have transformed the world of business, industry, and society. These emerging technologies offer a wide range of opportunities. However, they also create new challenges businesses must face, such as developing new business models, and discovering the best adoption strategies. This book is a practical guide to two of the most important emerging technologies: data science/AI and blockchain. With broad applicability across all sectors, decision-makers would greatly benefit from understanding these fields.
Enabling Machine Learning Applications In Data Science
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2021-05-27
Enabling Machine Learning Applications In Data Science written by Aboul Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-27 with Technology & Engineering categories.
This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21–23 June 2020. This book emphasizes the role and recent developments in the field of emerging technologies and artificial intelligence, and related technologies with a special focus on sustainable development in the Arab world. The book targets high-quality scientific research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning applications in data science.
Data Analytics For Emerging Technologies
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Author : Ajit Singh
language : en
Publisher: Independently Published
Release Date : 2025-08-08
Data Analytics For Emerging Technologies written by Ajit Singh and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-08 with Computers categories.
"Data Analytics for Emerging Technologies" is a comprehensive and practical guide designed to navigate the dynamic intersection where data analytics meets the transformative technologies of Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain. This textbook serves as an essential resource for undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Information Technology, Electronics, and other engineering disciplines. It is also an invaluable asset for researchers, data professionals, and technology enthusiasts seeking to upskill and stay ahead of the curve. Key Features: 1. Foundational Clarity: Begins with a clear and concise introduction to the fundamental principles of Data Analytics, AI, IoT, and Blockchain, making the book accessible even to those new to the topics. 2. Real-World Case Studies: Each chapter is enriched with practical case studies, such as predictive maintenance in smart factories, fraud detection in blockchain networks, and customer sentiment analysis using AI. 3. Simplest Practical Examples: Complex concepts are explained using simple, relatable, real-life examples, like using IoT for smart city traffic management or blockchain for securing a food supply chain. 4. Focus on Convergence: A dedicated chapter explores the powerful synergies achieved by combining AI, IoT, and Blockchain, showcasing integrated systems like secure, AI-optimized supply chains. 5. Hands-On Capstone Project: The final chapter guides the reader through a live, working capstone project-"A Smart Healthcare Monitoring System"-integrating IoT data collection, AI-based anomaly prediction, and Blockchain for data integrity, complete with step-by-step code and explanation. 6. Up-to-Date Content: Covers the latest tools, techniques, and platforms used in the industry, including Python libraries (Pandas, Scikit-learn, TensorFlow), Big Data technologies (Apache Spark), and cloud services (AWS, Azure, GCP). 7. Ethical Framework: Provides a robust discussion on the critical aspects of data governance, bias in AI, explainability (XAI), and data privacy regulations like GDPR. 8. Structured for Learning: Each chapter follows a logical flow with clearly defined learning objectives, numbered topics, and summaries to reinforce understanding. We begin by laying a strong foundation, introducing the core concepts of data analytics and the emerging technologies of AI, IoT, and Blockchain. We then dive deep into how data is acquired, processed, and analyzed within the context of each of these technologies. The central theme of convergence is explored in a dedicated chapter, showcasing how these technologies can be orchestrated to create robust, intelligent, and secure systems.
Emerging Technologies In Computing
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Author : Pramod Kumar
language : en
Publisher: CRC Press
Release Date : 2021-12-20
Emerging Technologies In Computing written by Pramod Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-20 with Computers categories.
Emerging Technologies in Computing: Theory, Practice, and Advances reviews the past, current, and future needs of technologies in the computer science field while it also discusses the emerging importance of appropriate practices, advances, and their impact. It outlines emerging technologies and their principles, challenges, and applications as well as issues involved in the digital age. With the rapid development of technologies, it becomes increasingly important for us to remain up to date on new and emerging technologies. It draws a clear illustration for all those who have a strong interest in emerging computing technologies and their impacts on society. Features: Includes high-quality research work by academicians and industrial experts in the field of computing Offers case studies related to Artificial Intelligence, Blockchain, Internet of Things, Multimedia Big Data, Blockchain, Augmented Reality, Data Science, Robotics, Cybersecurity, 3D Printing, Voice Assistants and Chatbots, and Future Communication Networks Serves as a valuable reference guide for anyone seeking knowledge about where future computing is heading
Data Science For Effective Healthcare Systems
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Author : Hari Singh
language : en
Publisher: CRC Press
Release Date : 2022-07-29
Data Science For Effective Healthcare Systems written by Hari Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-29 with Computers categories.
Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable. Key Features: The book offers comprehensive coverage of the most essential topics, including: Big Data Analytics, Applications & Challenges in Healthcare Descriptive, Predictive and Prescriptive Analytics in Healthcare Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.
Emerging Technologies In Computing
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Author : Mahdi H. Miraz
language : en
Publisher: Springer Nature
Release Date : 2020-09-28
Emerging Technologies In Computing written by Mahdi H. Miraz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-28 with Computers categories.
This book constitutes the refereed conference proceedings of the Third International Conference on Emerging Technologies in Computing, iCEtiC 2020, held in London, UK, in August 2020. Due to VOVID-19 pandemic the conference was helt virtually.The 25 revised full papers were reviewed and selected from 65 submissions and are organized in topical sections covering blockchain and cloud computing; security, wireless sensor networks and IoT; AI, big data and data analytics; emerging technologies in engineering, education and sustainable development.