Written for computer programming students, hobbyists, and professionals, FUNDAMENTALS OF PYTHON: DATA STRUCTURES is an introduction to object-oriented design and data structures using the popular Pyth
STATISTICS: LEARNING FROM DATA, Second Edition, addresses common problems faced by students and instructors with an innovative approach to elementary statistics. Translating research on student learni
The European Data Protection Basic Regulation brings a uniform data protection law directly applicable in all European Member States, which will also have to be complied with by numerous companies out
About this book: The TRIPS Regime of Patents and Test Data provides the best practical commentary on the TRIPS Agreement related to patents and test data. This fifth edition, in which the author has
Researchers working specifically on open data reflect critically on their findings, and apply and advance theories that explain the dynamics of open data as a socially constructed phenomenon and p
This book provides a multidimensional perspective on global football development. The conceptual foundations of this study were constructed with in-depth interviews and expert panels, while more preci
This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operatio
Digitisation is fundamentally transforming our entire economy and our society. The 'datafication' of business processes leads to an incredibly fast and ever increasing mass of data. Such data is the b
Coding and Decoding Seismic Data: The Concept of Multishooting, Volume One, Second Edition, offers a thorough investigation of modern techniques for collecting, simulating, and processing multishootin
The second edition of Data Collection in Sociolinguistics: Methods and Applications continues to provide up-to-date, succinct, relevant, and informative discussion about methods of data collection in
If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought?Machine learning-programming computers to learn from data-has spread across scientific d
Transatlantic conflicts over data have been studied from several perspectives. The EU-U.S. debate that led to the Safe Harbor Arrangement has typically been seen as an instance of a regulatory conflic
The value of MR imaging for the evaluation of musculoskeletal system disorders cannot be over-stated. It is the only imaging modality that enables visualization of all components of the joints within
With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmissio
This book analyses the multidimensional condition of the Romanian industrial landscape, which played host to a multitude of demo-economic, financial, trade, and trans- and inter-sectoral development p
This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e.
Metal enables Apple iOS and macOS platform developers to maximize performance in demanding tasks like 3D graphics, games, scientific programming, visualization, and now GPU-accelerated machine learnin
This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents
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
Risk is not a one-dimensional problem cured by a single dose of diversification. It's a multidimensional problem, and diversification’s passive risk reduction is only just the start. At least si
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
This edited collection surveys and analyses the multidimensional problem of Hubris syndrome, and its deleterious effect on leadership within organisations. The study develops an extended metaphor of t
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
An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read first data science textbook for those with no prior coding experience. The book is designed
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
Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonst
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
Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to go
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,
