Data Science Exploring Future Trends
DOWNLOAD
Download Data Science Exploring Future Trends PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Science Exploring Future Trends book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Data Science Exploring Future Trends
DOWNLOAD
Author : Mrs. Ch. V. Naga Sowjanya
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-04-04
Data Science Exploring Future Trends written by Mrs. Ch. V. Naga Sowjanya and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-04 with Study Aids categories.
"Data Science: Exploring Future Trends" is a forward-thinking look at the constantly changing area of data science and its future directions. This book, written by specialists in the field, provides a thorough overview of the developing trends, cutting-edge technology, and transformational applications that are driving the future of data science. "Data Science: Exploring Future Trends" guides readers through the ever-changing data science ecosystem. This book covers a broad variety of issues at the vanguard of data science innovation, including the fundamental concepts of artificial intelligence and machine learning, the transformative possibilities of quantum computing, and the ethical implications surrounding data-driven decision-making. Readers will understand the key trends shaping data science, including automation and AutoML, explainable AI and interpretability, data science's integration with healthcare, finance, and environmental sustainability, and edge computing and IoT integration's transformative impact. Whether you're a seasoned data scientist looking to stay ahead of the curve, a student or researcher interested in exploring the frontiers of data science, or a business leader looking to use data-driven insights for strategic decision-making, "Data Science: Exploring Future Trends" offers valuable insights and perspectives to navigate the ever-changing landscape of data science and unlock its full.
Recent Trends And Future Direction For Data Analytics
DOWNLOAD
Author : Kumari, Aparna
language : en
Publisher: IGI Global
Release Date : 2024-05-14
Recent Trends And Future Direction For Data Analytics written by Kumari, Aparna and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Computers categories.
In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential. Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence.
Artificial Intelligence And Data Analytics For Energy Exploration And Production
DOWNLOAD
Author : Fred Aminzadeh
language : en
Publisher: John Wiley & Sons
Release Date : 2022-09-21
Artificial Intelligence And Data Analytics For Energy Exploration And Production written by Fred Aminzadeh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-21 with Science categories.
ARTIFICAL INTELLIGENCE AND DATA ANALYTICS FOR ENERGY EXPLORATION AND PRODUCTION This groundbreaking new book is written by some of the foremost authorities on the application of data science and artificial intelligence techniques in exploration and production in the energy industry, covering the most comprehensive and updated new processes, concepts, and practical applications in the field. The book provides an in-depth treatment of the foundations of Artificial Intelligence (AI) Machine Learning, and Data Analytics (DA). It also includes many of AI-DA applications in oil and gas reservoirs exploration, development, and production. The book covers the basic technical details on many tools used in “smart oil fields”. This includes topics such as pattern recognition, neural networks, fuzzy logic, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural language processing, data analytics and next-generation visualization. While theoretical details will be kept to the minimum, these topics are introduced from oil and gas applications viewpoints. In this volume, many case histories from the recent applications of intelligent data to a number of different oil and gas problems are highlighted. The applications cover a wide spectrum of practical problems from exploration to drilling and field development to production optimization, artificial lift, and secondary recovery. Also, the authors demonstrate the effectiveness of intelligent data analysis methods in dealing with many oil and gas problems requiring combining machine and human intelligence as well as dealing with linguistic and imprecise data and rules.
Unraveling The Speed Skating Horizon Exploring Future Trends And Developments
DOWNLOAD
Author : Gregorio Huff
language : en
Publisher: Jaroslav Zdanovic
Release Date :
Unraveling The Speed Skating Horizon Exploring Future Trends And Developments written by Gregorio Huff and has been published by Jaroslav Zdanovic this book supported file pdf, txt, epub, kindle and other format this book has been release on with Juvenile Nonfiction categories.
Step into the future of speed skating with this insightful book that delves into emerging trends and developments shaping the sport. Take a deep dive into the technological advancements revolutionizing equipment and training methods, and explore how data analytics and sports science are enhancing athlete performance like never before. From innovative coaching strategies to rising star athletes poised to dominate the global stage, this book offers a comprehensive look at the exciting evolution of speed skating. Discover how sustainability and eco-conscious practices are becoming integral to the sport, with a spotlight on environmentally friendly initiatives and the impact of climate change on ice conditions. Learn about the growing popularity of indoor speed skating facilities and the potential for new events to attract a wider audience, pushing the boundaries of what is possible in the sport. With insights from industry experts, coaches, and athletes, this book provides a fresh perspective on the future of speed skating, offering readers a glimpse into the exhilarating developments awaiting this fast-paced discipline. Explore the intersection of speed skating with other sports and disciplines, from cross-training benefits to interdisciplinary collaborations pushing the boundaries of performance. Gain a deeper understanding of the cultural significance of speed skating and how it continues to inspire the next generation of athletes and fans worldwide. Whether you are a seasoned pro or a casual enthusiast, this book is a must-read for anyone captivated by the thrill of speed skating and curious about its promising future.
Exploring Data Science Concepts Techniques And Tools
DOWNLOAD
Author : Dr. A.P. Siva Kumar
language : en
Publisher: IIP Iterative International Publishers
Release Date : 2025-06-24
Exploring Data Science Concepts Techniques And Tools written by Dr. A.P. Siva Kumar and has been published by IIP Iterative International Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.
Welcome to "Data Science with Python"! Whether you're a student, a professional looking to switch careers, or an enthusiast eager to explore the world of data science, this book is designed to take you on an exciting journey through one of the most rapidly growing fields in the world. Data science is the key to unlocking the potential of vast amounts of data in today's digital age. With Python emerging as the leading language for data analysis, machine learning, and visualization, this book leverages Python's rich ecosystem of libraries to provide a hands-on and practical approach to learning data science concepts. Throughout the chapters, you will gain a solid foundation in the essential techniques used in data science, including data manipulation, exploration, statistical analysis, machine learning, and data visualization. You’ll also find real-world examples, case studies, and step-by-step tutorials that will guide you in solving complex problems using Python. The book assumes no prior knowledge of data science or Python, making it suitable for beginners. As you progress, you will gradually move into more advanced topics, empowering you to build your own data-driven solutions with confidence. By the end of this book, you will not only have a deep understanding of the core principles of data science but also be equipped with practical skills to tackle real-world challenges using Python’s powerful data science tools. Whether you're analyzing business data, building machine learning models, or visualizing complex datasets, you'll find the skills you need to succeed. Data science is an ever-evolving field, and as you embark on this journey, remembers that learning is continuous. This book serves as a foundation for that journey, and the possibilities are endless as you dive deeper into data science with Python.
Foundations Of Data Science Principles And Applications
DOWNLOAD
Author : Dr. Punit Kumar Chaubey
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-07-24
Foundations Of Data Science Principles And Applications written by Dr. Punit Kumar Chaubey and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Study Aids categories.
The thorough reference "Foundations of Data Science: Principles and Applications" explores the fundamental ideas and real-world uses of data science. The book is appropriate for both novices and those wishing to expand their knowledge of the subject since it is organised to lead readers from the fundamentals to more complex subjects. The book is broken up into many important parts. The first few chapters cover foundational ideas such data types, statistical procedures, and data visualisation strategies. Big data analytics, data mining methods, and machine learning algorithms are introduced throughout the book. A combination of practical examples and theoretical insights are used to convey each subject, making sure that readers not only understand the ideas but also learn how to apply them. The book encourages readers to think about the wider effect of their work by addressing the ethical and social aspects of data science in addition to its technical content. Readers will have a solid foundation in data science at the conclusion of the book, along with the know-how to take on challenging data problems and make significant contributions to the field.
Data Science And Big Data Analytics Principles Techniques And Applications
DOWNLOAD
Author : Dr. Dhananjaya Reddy
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-10-25
Data Science And Big Data Analytics Principles Techniques And Applications written by Dr. Dhananjaya Reddy and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-25 with Study Aids categories.
“Data Science and Big Data Analytics: Principles, Techniques, and Applications” is designed to provide a comprehensive introduction to the rapidly growing fields of data science and big data analytics. The book offers a balanced approach to both theoretical concepts and practical knowledge, making it ideal for learners at various levels—ranging from beginners to those seeking advanced understanding. By exploring topics such as data collection, preprocessing, machine learning, and big data technologies, the book lays the groundwork for understanding how large-scale data is managed and utilized in real-world applications. Without including case studies or examples, the text emphasizes key concepts, tools, and methodologies. The book also addresses ethical considerations and future trends in data science, making it a well-rounded resource for students, educators, and professionals aiming to grasp the essentials of the field.
Applied Graph Data Science
DOWNLOAD
Author : Pethuru Raj
language : en
Publisher: Elsevier
Release Date : 2025-01-27
Applied Graph Data Science written by Pethuru Raj and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.
Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with its practical research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques. - Provides comprehensive coverage of the emerging paradigm of graph data science and its real-world applications - Gives readers practical guidance on how to approach and solve complex data analysis problems using graph data science, with an emphasis on deep analysis techniques including graph neural networks (GNNs), machine learning, algorithms, graph databases, and graph query languages - Covers extended graph models such as bipartite directed graphs of place-transition nets, graphs with dynamical processes defined on them - Petri and Sleptsov nets, and graphs as programming languages - Presents all the key tools and techniques as well as the foundations of graph theory, including mathematical concepts, research, and graph analytics
Innovations Disruptions And Future Trends In The Global Construction Industry
DOWNLOAD
Author : Temitope Omotayo
language : en
Publisher: Taylor & Francis
Release Date : 2024-06-07
Innovations Disruptions And Future Trends In The Global Construction Industry written by Temitope Omotayo and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-07 with Technology & Engineering categories.
Innovations, Disruptions and Future Trends in the Global Construction Industry examines current and futuristic developments in the construction industry hinged on the construction industrial fourth and fifth revolution, otherwise known as construction industry 4.0 and 5.0. This book provides a wide range of expert views and case studies on the future of the construction industry from the perspectives of researchers and practitioners in various fields of study from business management, psychology, sociology, engineering, behavioural studies and computer sciences. The book provides documentary evidence of how the construction industry has changed post-COVID-19 pandemic in terms of design, planning, management, construction, the behaviour of construction professionals, research in the built environment, and new interactions of built environment practitioners with other professionals from computer science, finance, business management, and engineering. The evidence provided in this book can help decision makers in the construction sector and associated industries to understand human interaction in the construction sector and inspire new research directions. Furthermore, the book will map potential future paradigms for the construction industry and the preparedness of construction professionals, teams, and organisations for coming changes. This book is of interest to a wide audience of postgraduate students, academics, researchers, and industry professionals in the built environment, finance, project management, engineering, and policy makers.
Data Analytics And Machine Learning
DOWNLOAD
Author : Pushpa Singh
language : en
Publisher: Springer Nature
Release Date : 2024-03-19
Data Analytics And Machine Learning written by Pushpa Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Computers categories.
This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, big data, and machine learning solutions in their own organizations. The book discusses the transformative power of data analytics and big data in various industries and sectors and how machine learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how big data explosion, the power of analytics and machine learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data.