Princeton Architectural Press, 2021. — 177 p. — ISBN 978-1616899158. Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design. Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful...
River Publishers, 2021. — 288 p. — ISBN: 978-87-7022-415-4. The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the...
Books on Demand GmbH, 2019. — 220 p. A technical book about popular space-efficient data structures and fast algorithms that are extremely useful in modern Big Data applications. Probabilistic data structures is a common name for data structures based mostly on different hashing techniques. Unlike regular (or deterministic) data structures, they always provide approximated answers...
NSTA Press, 2017. — 225 p. — ISBN13: 978-1681402765. Now your students can transform their mobile phones and tablets into tools for learning about everything from weather to water quality. Big Data, Small Devices shows you how. This book is designed for Earth and environmental science teachers who want to help students tap into, organize, and deploy large data sets via their...
2nd Edition. — O’Reilly Media, 2019. — 72 р. Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them...
Wiley. 2017. — 432 p. — ISBN: 978-1119247043. 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. To that end,...
IGI Global, 2016. — 2478 p. — ISBN: 978-1466698406. The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data...
Boca Raton: CRC Press, 2013. — 293 p. With the growing barrage of "big data," it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns on...
Taylor & Francis Group LLC, CRC Press, 2019. — 203 p. — ISBN13: 978-0-367-18345-5. Big data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File...
Stevenage Herts: The Institution of Engineering and Technology, 2021. — 419 p. Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all...
Academic Press/Elsevier, 2021. — 147 p. Big Data permeates all aspects of modern life, and while there is no shortage of potential benefits resulting from this, author Henrik Skaug S?tra argues that we must also understand the threats Big Data poses to liberty. The issues discussed in Big Data’s Threat to Liberty: Surveillance, Nudging, and the Curation of Information are...
Chapman and Hall/CRC, 2021. — 340 p. — (Chapman & Hall/CRC Big Data Series). — ISBN: 978-1-4987-5270-1. Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not...
CRC Press, 2018. — 413 p. — ISBN: 978-1-138-03239-2 The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of...
CRC Press, 2021. — 194 p. — ISBN 978-1-032-06296-9. DataOps is a new way of delivering data and analytics that is proven to get results. It enables IT and users to collaborate in the delivery of solutions that help organisations to embrace a data-driven culture. The DataOps Revolution: Delivering the Data-Driven Enterprise is a narrative about real world issues involved in...
СПб.: Питер, 2019. — 368 с.: ил. — (Библиотека программиста). — ISBN: 978-5-4461-0622-6. Data Science (исследование данных) - одна из самых востребованных специализаций нашего времени. Изучение данных позволяет преобразить любую традиционную или инновационную бизнес-модель. Эта книга основана на вводном курсе по Data Science из Колумбийского университета, и начинающему...
Учебное пособие. — СПб.: Университет ИТМО, 2018. — 52 с. В учебном пособии в сжатой форме излагаются основные принципы, подходы и направления технологий и инфраструктуры Big Data. Авторы дают краткий обзор подходов и определений, предоставляют обзор экосистемы Больших данных и раскрывают тему систем. управления Большими данными. В учебном подобии также представлен краткий обзор...
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