Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages i
What every electrical engineering student and technical professional needs to know about data exchange across networks While most electrical engineering students learn how the individual components th
Machine learning -- programming computers to learn from data -- has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transactio
The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This ‘Big Data’ phenomenon is the result of recent
In this seventh DATA Set adventure, the kids fast-forward and rewind time with an all-controlling TV remote!Dr. Bunsen has built an all-controlling TV remote that the DATA Set use to fast-forward and
In this seventh DATA Set adventure, the kids fast-forward and rewind time with an all-controlling TV remote!Dr. Bunsen has built an all-controlling TV remote that the DATA Set use to fast-forward and
Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It is targeted to public health students and professionals who hav
Data is your most valuable leadership asset—here's how to use it Data Driven Leadership presents a clear, accessible guide to putting data to work for your team. While companies everywhere are
The history of data brings together topics and themes from a variety of perspectives in history of science: histories of the material culture of information and of computing, the history of politics o
Have you ever wondered how to beat the bookies?How does your computer know you might like this song? Should you be worried about this?... We can’t answer that for you, but Man vs Big Data do
Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among oth
Is the data available on your college campus fully utilized? Analyzing data does not have to be a complex process, but there can be obstacles to putting data to good use: overworked staff or understa
This concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physi
The world today is drowning in data. There is a treasure trove of valuable and underutilized insights that can be gleaned from information companies and people leave behind on the internet - our 'digi
This book introduces readers to ecological informatics as an emerging discipline that takes into account the data-intensive nature of ecology, the valuable information to be found in ecological data,
This edited book covers a wide range of issues on data security in cloud computing. Many organizations have already embraced the idea of a centralized cloud due to its benefits of economy, reliability
Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.It is
This volume offers novel views on the precise relation between reference to an object by means of a linguistic expression and our mental representation of that object, long a source of debate in the p
Focusing on the interpretation of data commonly available to anesthesiologists, this book presents a data point, followed by discussion in a question and answer format. Covering EKG's, X-Rays, MRI's,
NMR Case Studies: Data Analysis of Complicated Molecules provides a detailed discussion of the full logical flow associated with assigning the NMR spectra of complex molecules, also helping readers fu
From predictive policing to self-surveillance to private security, the potential uses to of big data in crime control pose serious legal and ethical challenges relating to privacy, discrimination, and
Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data which are common to diverse areas of science. Readers will gain a
The typical data science task in industry starts with an “ask” from the business. But few data scientists have been taught what to do with that ask. This book shows them how to assess it in the contex
This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electr
This tutorial teaches everything you need to get started with Python programming for the fast-growing field of data analysis. Daniel Chen tightly links each new concept with easy-to-apply, relevant ex
Organized into four main sections, this book will present state-of-the-art research, methodologies, and applications of high performance computing for big data applications. It will cover fundamental
There is a long history of governments, businesses, science and citizens producing and utilising data in order to monitor, regulate, profit from, and make sense of the urban world. Recently, we have
There is a long history of governments, businesses, science and citizens producing and utilising data in order to monitor, regulate, profit from, and make sense of the urban world. Recently, we have
This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time s
This book introduces the reader to the optical switching technology for its application to data centers. In addition, it takes a picture of the status of the technology and system architecture evoluti
Compared to the US, European data and privacy protection rules seem Draconian. The European rules apply to any enterprise doing business in the EU. The new rules are far more stringent than the last s
Computer scientists describe the current state and trends in big data analytics, its technologies, and applications. Among their topics are a brief review on deep learning and types of implementati
Focusing on classifying and clustering techniques, computer scientists look at the multidisciplinary nature of big data and its applications and challenges in various fields. Their topics include
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustrationReaders will learn ho
This book provides expert advice on the practical implementation of the European Union’s General Data Protection Regulation (GDPR) and systematically analyses its various provisions. Examples, tables,
