As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.
Here are just a dozen of the many questions answered within these pages:
What does quantitative analysis of a system really mean?
What is a system?
What are big data and analystics?
How do you know your numbers are good?
What will the future data science environment look like?
How do you determine data provenance?
How do you gather and process information, and then organize, store, and synthesize it?
How does an organization implement data analytics?
Do you really need to think like a Chief Information Officer?
What is the best way to protect data?
What makes a good dashboard?
What is the relationship between eating ice cream and getting attacked by a shark?
The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).
Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
Автор: P.K. Gupta, Tuncer Oren, Mayank Singh Название: Predictive Intelligence Using Big Data and the Internet of Things ISBN: 1522562109 ISBN-13(EAN): 9781522562108 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 204820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time.Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.
Автор: Ashley, Kevin D. (university Of Pittsburgh) Название: Artificial intelligence and legal analytics ISBN: 1316622819 ISBN-13(EAN): 9781316622810 Издательство: Cambridge Academ Рейтинг: Цена: 47520.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The field of artificial intelligence (AI) and the law is on the cusp of a revolution. This book - designed to explain computational processes to non-programmers - describes how text analytic programs will change the practice of law, specifically by connecting computational models of legal reasoning directly with legal text.
Автор: Tony Boobier Название: Analytics for Banking ISBN: 1119596122 ISBN-13(EAN): 9781119596127 Издательство: Wiley Рейтинг: Цена: 73920.00 T Наличие на складе: Невозможна поставка. Описание:
An industry-specific guide to the applications of Advanced Analytics and AI to the banking industry
Artificial Intelligence (AI) technologies help organisations to get smarter and more effective over time - ultimately responding to, learning from and interacting with human voices. It is predicted that by 2020, half of all businesses will be using these intelligent, self-learning systems. Across its entire breadth and depth, the banking industry is at the forefront of investigating Advanced Analytics and AI technology for use in a broad range of applications, such as customer analytics and providing wealth advice for clients. AI and the Future of Banking provides new and established banking industry professionals with the essential information on the implications of data and analytics on their roles, responsibilities and personal career development.
Unlike existing books on the subject which tend to be overly technical and complex, this accessible, reader-friendly guide is designed to be easily understood by any banking professional with limited or no IT background. Chapters focus on practical guidance on the use of analytics to improve operational effectiveness, customer retention and finance and risk management. Theory and published case studies are clearly explained, whilst considerations such as operating costs, regulation and market saturation are discussed in real-world context. Written by a recognised expert in AI and Advanced Analytics, this book:
Explores the numerous applications for Advanced Analytics and AI in various areas of banking and finance
Offers advice on the most effective ways to integrate AI into existing bank ecosystems
Suggests alternative and complementary visions for the future of banking, addressing issues like branch transformation, new models of universal banking and 'debranding'
Explains the concept of 'Open Banking, ' which securely shares information without needing to reveal passwords
Addresses the development of leadership relative to AI adoption in the banking industry
AI and the Future of Banking is an informative and up-to-date resource for bank executives and managers, new entrants to the banking industry, financial technology and financial services practitioners and students in postgraduate finance and banking courses.
Автор: Michael Bowles Название: Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics ISBN: 1119561930 ISBN-13(EAN): 9781119561934 Издательство: Wiley Рейтинг: Цена: 40120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Cambridge for DGB 2nd Edition is a four-level American English integrated skills series for the Upper Secondary public school market in Mexico. Its syllabus is strictly aligned to the national Direccion General del Bachillerato program. It is a series that offers teachers a hands-on and practical solution to teaching English in the classroom. It builds students` language skills from A1 to A2+ in the CEFR.
Автор: Jo Bac Название: Artificial Intelligence: A Dependent Legal Person – An Evolutionary Step for the United States Patent Law ISBN: 1680534785 ISBN-13(EAN): 9781680534788 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 208960.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Jo Bac’s groundbreaking legal study asks why and how the United States legal system should grant legal personhood to artificial intelligence (AI). This new legal status of AI is visualized as a dependent person, and the AI dependent legal person would be determined by an inextricable connection between AI and a new type of corporate body, introduced here as “AI-Human Amalgamation” (AI-HA).Artificial Intelligence has been defined as one or more computer programs with an ability to create work that is unforeseen by humans. This includes AI capacity to generate unforeseen innovations, patentable inventions, and/or infringe the rights of other patent holders. At present, AI is an entity unrecognized by law. The fact that AI is neither a natural nor a legal person indicates that it cannot be considered the owner of rights or bearer of liabilities. This in turn creates tension both in society and legal systems because questions such as who should hold the rights of AI or be liable for autonomous acts of AI remain unanswered.This book dynamically argues that the AI dependent legal person and AI-HA are necessary to address these new challenges. The creativity and actions of AI and AI-HA would be distinct from those performed by human beings involved in the creation of this amalgamation, such as AI’s operators or programmers. As such, this structure would constitute an amalgamation based on human beings and AI cooperation (AI-HA). As a dependent legal person, AI would hold the patent rights to its own inventions, thus ensuring favorable conditions for the incentives of the U.S. patent system. In addition, the proposed legal framework with the use of legislative instruments could address any liability concerns arising from foreseen and unforeseen actions, omissions, and AI’s failure to act.
Название: Smart Technologies: Breakthroughs in Research and Practice ISBN: 1522525890 ISBN-13(EAN): 9781522525899 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 335410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides comprehensive and interdisciplinary research on emerging areas of information science and technology. Including innovative studies on image and speech recognition, human-computer interface, and wireless technologies, this book is an ideal source for researchers, academics, practitioners, and students interested in advanced technological applications and developments.
This is the proceedings of the Fourth Workshop on Computing: Theory and Practice, WCTP 2015 devoted to theoretical and practical approaches to computation. This workshop was organized by four top universities in Japan and the Philippines: Tokyo Institute of Technology, Osaka University, University of the Philippines - Diliman, and De La Salle University. The proceedings provides a view of the current movement in research in these two countries. The papers included in the proceedings focus on the two research areas: theoretical and practical aspects of computation.
Автор: Salem Benferhat; Karim Tabia; Moonis Ali Название: Advances in Artificial Intelligence: From Theory to Practice ISBN: 3319600419 ISBN-13(EAN): 9783319600413 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017.
Автор: Salem Benferhat; Karim Tabia; Moonis Ali Название: Advances in Artificial Intelligence: From Theory to Practice ISBN: 3319600443 ISBN-13(EAN): 9783319600444 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017.
Автор: Millington Название: Artificial Intelligence for Games,Third Edition ISBN: 1138483974 ISBN-13(EAN): 9781138483972 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Artificial Intelligence is an integral part of every video game. This book helps propfessionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date infortmation they need to jumpstart their careers.
Автор: Purnomo Hindriyanto Dwi Название: Computational Intelligence in the Internet of Things ISBN: 1522579559 ISBN-13(EAN): 9781522579557 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 188100.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.
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