cognitive computing big data (73 Ergebnisse)

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hardcover. Zustand: Very Good. EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing: BDCC 2018 (EAI/Springer Innovations in Communication and Computing) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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xvi, 375 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

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Zustand: New. A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. Num Pages: 288 pages. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 188 x 236 x 16. Weight in Grams: 490. . 2015. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

Zustand: New. &Uumlber den AutorDavid has been a leader in bringing technology and insights to the philanthropic community for a generation. He created the first asset-based wealth screening service as well as the first software to manage screening d.

Taschenbuch. Zustand: Neu. Neuware - While the debate rages over whether Big Data and Cognitive Computing are going to save or destroy our way of life, or even perhaps life itself, most non-governmental organizations are on the sidelines waiting to see who wins. In the meantime, we have never been faced with more urgent, and complex, problems needing solutions now. From climate change to homelessness to helping students turn into successful alums, the answers are not going to be found on traditional business intelligence dashboards or by using old-school analytics based on incomplete data. Big Good - Philanthropy in the Age of Big Data & Cognitive Computing is written for the people who need actionable insights to help them meet the challenges of their organization's mission. For a generation, David Lawson has been on the leading edge of turning technology and data into invaluable tools for NGO's. David's goal with this book is to help NGO leaders, staff, and supporters understand what makes Big Data and Cognitive Computing different, and how it can be applied to their important work. This is not a 'how-to' but rather a 'why-do' book, designed to spark your imagination and get you excited about embracing the most transformational technology yet created.

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Kartoniert / Broschiert. Zustand: New. Judith S. Hurwitz is President and CEO of Hurwitz & Associates, a research and consulting firm focused on emerging technology, and is a leading strategy consultant. Marcia Kaufman is a Principal Analyst and COO of Hurwitz & Associates, with leadership in bi.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makersserves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other.This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making.The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business.What You Will LearnDiscover the machine learning, big data, and cloud and cognitive computing technology stackGain insights into machine learning concepts and practicesUnderstand business and enterprise decision-making using machine learningAbsorb machine-learning best practicesWho This Book Is ForManagers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.

Taschenbuch. Zustand: Neu. Machine Learning for Decision Makers | Cognitive Computing Fundamentals for Better Decision Making. In the Age of IoT, Big Data Analytics, the Cloud, and Cognitive Computing | Patanjali Kashyap | Taschenbuch | Englisch | 2018 | Apress | EAN 9781484229873 | Verantwortliche Person für die EU: Springer Heidelberg, Tiergartenstr. 17, 69121 Heidelberg, buchhandel-buch[at]springer[dot]com | Anbieter: preigu.

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Taschenbuch. Zustand: Neu. Neuware - A comprehensive guide to learning technologies that unlock the value in big dataCognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon.Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries.Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need.\* Discover how cognitive computing evolved from promise to reality\* Learn the elements that make up a cognitive computing system\* Understand the groundbreaking hardware and software technologies behind cognitive computing\* Learn to evaluate your own application portfolio to find the best candidates for pilot projects\* Leverage cognitive computing capabilities to transform the organizationCognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.

Zustand: New. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. Num Pages: 432 pages. BIC Classification: TJ; UT. Category: (P) Professional & Vocational. Dimension: 244 x 170. . . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Brand New. 392 pages. 9.00x6.25x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Cognitive Computing for Big Data Systems Over IoT | Frameworks, Tools and Applications | Arun Kumar Sangaiah (u. a.) | Taschenbuch | Lecture Notes on Data Engineering and Communications Technologies | xvi | Englisch | 2018 | Springer | EAN 9783319706870 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Gebunden. Zustand: New. Kai Hwang, PhD is Professor of Electrical Engineering and Computer Science at University of Southern California, USA. He also serves as an EMC-endowed visiting Chair Professor at Tsinghua University, China. He specializes in computer architecture, wireless .

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collectedthrough the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.