Data Science Techniques For Beginner Network Administrators
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Data Science Techniques For Beginner Network Administrators
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Author : Yulius Yus
language : en
Publisher: AMERTA MEDIA
Release Date : 2024-08-12
Data Science Techniques For Beginner Network Administrators written by Yulius Yus and has been published by AMERTA MEDIA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-12 with Antiques & Collectibles categories.
There is an old saying: "It is easier to wake someone who is sound asleep than to wake who is pretending to sleep." As network administrators, competing with Al systems in the future is not an impossibility. Analyzing events with simple examples like comparing bandwidth, throughput, jitter, and optimizing server resource usage can be exhausting when applied to dozens or hundreds of devices. For instance, how do we classify when the bandwidth is low in one place but normal elsewhere based on several sample events? Or how do we classify which servers need maintenance and which do not, based on existing data parameters, referring to unsupervised and supervised learning? Classification models can indeed simplify and optimize our work, saving time compared to performing network maintenance one by one, using only Google Colab. In this context, we have tried using a small of unsupervised and supervised learning to process data from simple network case studies. These data are analyzed for classification, regression, and prediction using Python scripts implemented in Google Colab. This book serves as a starting point to be developed into a continuous series, extending to supervised learning, deep learning, and reinforcement learning, which are still in the testing and writing phase. We hope this new approach benefits network administrators wherever you are.
Proceedings Of International Conference On Computational Intelligence Data Science And Cloud Computing
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Author : Valentina E. Balas
language : en
Publisher: Springer Nature
Release Date : 2021-04-05
Proceedings Of International Conference On Computational Intelligence Data Science And Cloud Computing written by Valentina E. Balas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-05 with Technology & Engineering categories.
This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25–27 September 2020. It presents substantial new research findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.
Web Services Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2018-12-07
Web Services Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Computers categories.
Web service technologies are redefining the way that large and small companies are doing business and exchanging information. Due to the critical need for furthering automation, engagement, and efficiency, systems and workflows are becoming increasingly more web-based. Web Services: Concepts, Methodologies, Tools, and Applications is an innovative reference source that examines relevant theoretical frameworks, current practice guidelines, industry standards and standardization, and the latest empirical research findings in web services. Highlighting a range of topics such as cloud computing, quality of service, and semantic web, this multi-volume book is designed for computer engineers, IT specialists, software designers, professionals, researchers, and upper-level students interested in web services architecture, frameworks, and security.
The Dictionary Of Artificial Intelligence
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Author : Utku Taşova
language : en
Publisher: Entropol
Release Date : 2023-11-03
The Dictionary Of Artificial Intelligence written by Utku Taşova and has been published by Entropol this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-03 with Computers categories.
Unveiling the Future: Your Portal to Artificial Intelligence Proficiency In the epoch of digital metamorphosis, Artificial Intelligence (AI) stands as the vanguard of a new dawn, a nexus where human ingenuity intertwines with machine precision. As we delve deeper into this uncharted realm, the boundary between the conceivable and the fantastical continually blurs, heralding a new era of endless possibilities. The Dictionary of Artificial Intelligence, embracing a compendium of 3,300 meticulously curated titles, endeavors to be the torchbearer in this journey of discovery, offering a wellspring of knowledge to both the uninitiated and the adept. Embarking on the pages of this dictionary is akin to embarking on a voyage through the vast and often turbulent seas of AI. Each entry serves as a beacon, illuminating complex terminologies, core principles, and the avant-garde advancements that characterize this dynamic domain. The dictionary is more than a mere compilation of terms; it's a labyrinth of understanding waiting to be traversed. The Dictionary of Artificial Intelligence is an endeavor to demystify the arcane, to foster a shared lexicon that enhances collaboration, innovation, and comprehension across the AI community. It's a mission to bridge the chasm between ignorance and insight, to unravel the intricacies of AI that often seem enigmatic to the outsiders. This profound reference material transcends being a passive repository of terms; it’s an engagement with the multifaceted domain of artificial intelligence. Each title encapsulated within these pages is a testament to the audacity of human curiosity and the unyielding quest for advancement that propels the AI domain forward. The Dictionary of Artificial Intelligence is an invitation to delve deeper, to grapple with the lexicon of a field that stands at the cusp of redefining the very fabric of society. It's a conduit through which the curious become enlightened, the proficient become masters, and the innovators find inspiration. As you traverse through the entries of The Dictionary of Artificial Intelligence, you are embarking on a journey of discovery. A journey that not only augments your understanding but also ignites the spark of curiosity and the drive for innovation that are quintessential in navigating the realms of AI. We beckon you to commence this educational expedition, to explore the breadth and depth of AI lexicon, and to emerge with a boundless understanding and an unyielding resolve to contribute to the ever-evolving narrative of artificial intelligence. Through The Dictionary of Artificial Intelligence, may your quest for knowledge be as boundless and exhilarating as the domain it explores.
Progress In Computing Analytics And Networking
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Author : Prasant Kumar Pattnaik
language : en
Publisher: Springer
Release Date : 2018-04-10
Progress In Computing Analytics And Networking written by Prasant Kumar Pattnaik and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-10 with Technology & Engineering categories.
The book focuses to foster new and original research ideas and results in three broad areas: computing, analytics, and networking with its prospective applications in the various interdisciplinary domains of engineering. This is an exciting and emerging interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging real world problems. It also provides insights into the International Conference on Computing Analytics and Networking (ICCAN 2017) which is a premier international open forum for scientists, researchers and technocrats in academia as well as in industries from different parts of the world to present, interact, and exchange the state of art of concepts, prototypes, innovative research ideas in several diversified fields. The book includes invited keynote papers and paper presentations from both academia and industry to initiate and ignite our young minds in the meadow of momentous research and thereby enrich their existing knowledge. The book aims at postgraduate students and researchers working in the discipline of Computer Science & Engineering. It will be also useful for the researchers working in the domain of electronics as it contains some hardware technologies and forthcoming communication technologies.
Big Data Infrastructure Technologies For Data Analytics
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Author : Yuri Demchenko
language : en
Publisher: Springer Nature
Release Date : 2024-10-25
Big Data Infrastructure Technologies For Data Analytics written by Yuri Demchenko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-25 with Computers categories.
This book provides a comprehensive overview and introduction to Big Data Infrastructure technologies, existing cloud-based platforms, and tools for Big Data processing and data analytics, combining both a conceptual approach in architecture design and a practical approach in technology selection and project implementation. Readers will learn the core functionality of major Big Data Infrastructure components and how they integrate to form a coherent solution with business benefits. Specific attention will be given to understanding and using the major Big Data platform Apache Hadoop ecosystem, its main functional components MapReduce, HBase, Hive, Pig, Spark and streaming analytics. The book includes topics related to enterprise and research data management and governance and explains modern approaches to cloud and Big Data security and compliance. The book covers two knowledge areas defined in the EDISON Data Science Framework (EDSF): Data Science Engineering and Data Management and Governance and can be used as a textbook for university courses or provide a basis for practitioners for further self-study and practical use of Big Data technologies and competent evaluation and implementation of practical projects in their organizations.
Iot And Analytics For Sensor Networks
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Author : Padmalaya Nayak
language : en
Publisher: Springer Nature
Release Date : 2021-09-11
Iot And Analytics For Sensor Networks written by Padmalaya Nayak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-11 with Technology & Engineering categories.
This book includes high-quality research papers presented at the 1st International Conference on Wireless Sensor Networks, Ubiquitous Computing and Applications (ICWSNUCA, 2021), which is held at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India, during 26–27 February, 2021. This volume focuses on the applications, use-cases, architectures, deployments, and recent advances of wireless sensor networks as well as ubiquious computing. Different research topics are illustrated in this book, like wireless sensor networks for the Internet of Things; IoT applications for eHealth; smart cities; architectures for WSNs and IoT, WSNs hardware and new devices; low-power wireless technologies; wireless ad hoc sensor networks; routing and data transfer in WSNs; multicast communication in WSNs; security management in WSNs and in IoT systems; and power consumption optimization in WSNs.
Information Technology For Management
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Author : Efraim Turban
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-05
Information Technology For Management written by Efraim Turban 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 2025-03-05 with Business & Economics categories.
Comprehensive coverage of developments in the real world of IT management, provides a realistic and up-to-date view of IT management in the current business environment Information Technology for Management provides students in all disciplines with a solid understanding of IT concepts, terminology, and the critical drivers of business sustainability, performance, and growth. Employing a blended learning approach that presents content visually, textually, and interactively, this acclaimed textbook helps students with different learning styles easily comprehend and retain information. Throughout the text, the authors provide real-world insights on how to support the three essential components of business process improvements: people, processes, and technology. Information Technology for Management integrates a wealth of classroom-tested pedagogical tools, including 82 real-world cases highlighting the successes and failures of IT around the world, interactive exercises and activities, whiteboard animations for each learning objective, high-quality illustrations and images, boxed sections highlighting various job roles in IT management and giving examples of how readers will use IT in their career as a marketing, accounting, finance, human resource management, productions and operations management, strategic management, or information technology professional, or as an entrepreneur, and illustrative innovative uses of information technology. Now in its thirteenth edition, this leading textbook incorporates the latest developments in the field of IT management, based on feedback from practitioners from top-tier companies and organizations. New topics include Network-as-a-Service (NaaS), hybrid cloud, cryptocurrency, intent-based networking, edge analytics, digital twin technology, natural language generation, and many more. New “How will YOU use IT” boxes directly inform students in all majors about how IT will impact their careers. Equipping readers with the knowledge they need to become better IT professionals and more informed users of IT, Information Technology for Management, Thirteenth Edition, is the perfect textbook for undergraduate and graduate courses on computer information systems or management information systems, general business and IT curriculum, and corporate-in-house-training or executive programs in all industry sectors. AN INTERACTIVE, MULTIMEDIA LEARNING EXPERIENCE This textbook includes access to an interactive, multimedia e-text. Icons throughout the print book signal corresponding digital content in the e-text. Videos and Animations: Information Technology for Management integrates abundant video content developed to complement the text and engage readers more deeply with the fascinating field of information technology Whiteboard Animation Videos help bring concepts to life, one for each learning objective throughout the text. Real World News Videos support content in every chapter. Cutting-edge business video content from Bloomberg provides an application of learned content to actual business situations. Interactive Figures, Charts & Tables: Appearing throughout the enhanced e-text, interactive figures, process diagrams, and other illustrations facilitate the study of complex concepts and processes and help students retain important information. Interactive Self-Scoring Quizzes: Concept Check Questions at the end of each section provide immediate feedback, helping readers monitor their understanding and mastery of the material.
Annual Catalog United States Air Force Academy
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Author : United States Air Force Academy
language : en
Publisher:
Release Date : 1979
Annual Catalog United States Air Force Academy written by United States Air Force Academy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with categories.
Data Science Analytics And Machine Learning With R
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Author : Luiz Paulo Favero
language : en
Publisher: Academic Press
Release Date : 2023-01-23
Data Science Analytics And Machine Learning With R written by Luiz Paulo Favero and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-23 with Computers categories.
Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health, biology, engineering, technology and related sciences. Examples use the most recent R language syntax, with recognized robust, widespread and current packages. Code scripts are exhaustively commented, making it clear to readers what happens in each command. For data collection, readers are instructed how to build their own robots from the very beginning. In addition, an entire chapter focuses on the concept of spatial analysis, allowing readers to build their own maps through geo-referenced data (such as in epidemiologic research) and some basic statistical techniques. Other chapters cover ensemble and uplift modeling and GLMM (Generalized Linear Mixed Models) estimations, both linear and nonlinear. - Presents a comprehensive and practical overview of machine learning, data mining and AI techniques for a broad multidisciplinary audience - Serves readers who are interested in statistics, analytics and modeling, and those who wish to deepen their knowledge in programming through the use of R - Teaches readers how to apply machine learning techniques to a wide range of data and subject areas - Presents data in a graphically appealing way, promoting greater information transparency and interactive learning