Data science and analysis: general

The Social Dynamics of Open Data is a collection of peer reviewed papers presented at the 2nd Open Data Research Symposium (ODRS) held in Madrid, Spain, on 5 October 2016.

The Social Dynamics of Open Data is a collection of peer reviewed papers presented at the 2nd Open Data Research Symposium (ODRS) held in Madrid, Spain, on 5 October 2016.

New and expanded edition.

Open government data (OGD) has developed rapidly in recent years due to various benefits that can be derived through transparency and public access.

Open government data (OGD) has developed rapidly in recent years due to various benefits that can be derived through transparency and public access.

The 3rd edition of this popular textbook introduces the reader to the investigation of vegetation systems with an emphasis on data analysis.

The 3rd edition of this popular textbook introduces the reader to the investigation of vegetation systems with an emphasis on data analysis.

As an emerging discipline, data science broadly means different things across different areas.

Measuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring.

Measuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring.

This is a book about how ecologists can integrate remote sensing and GIS in their research.

This is a book about how ecologists can integrate remote sensing and GIS in their research.

Microsoft Excel is a powerful tool that can transform the way you use data.

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data.

This is a book about the scientific process and how you apply it to data in ecology.

This is a book about the scientific process and how you apply it to data in ecology.

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data.

Microsoft Excel is a powerful tool that can transform the way you use data.

This is a book about how ecologists can integrate remote sensing and GIS in their daily work.

This is a book about how ecologists can integrate remote sensing and GIS in their daily work.

Data is humanity's most important new resource.

Become an expert at using Python for advanced statistical analysis of data using real-world examplesAbout This BookClean, format, and explore data using graphical and numerical summariesLeverage the IPython environment to efficiently analyze data with PythonPacked with easy-to-follow examples to develop advanced computational skills for the analysis of complex dataWho This Book Is ForIf you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you.

Research Data Management (RDM) has become a professional topic of great importance internationally following changes in scholarship and government policies about the sharing of research data.

An insider's guide to data librarianship packed full of practical examples and advice for any library and information professional learning to deal with data.

The research landscape is changing, with key global research funders now requiring institutions to demonstrate how they will preserve and share research data.

Fully updated, this revised edition describes the statistical aspects of both the design and analysis of trials, with particular emphasis on the more recent methods of analysis.

THE INSTANT NEW YORK TIMES BESTSELLER'Chart a child's path with less stress and more optimization for healthy habits and future success' TimeFrom age 5 to 12, parenting decisions get more complicated and have lasting consequences.

'Emily Oster is the non-judgemental girlfriend holding our hand and guiding us through pregnancy and motherhood.

Data is constantly increasing and data analysts are in higher demand than ever.

Data is constantly increasing and data analysts are in higher demand than ever.

Simulated test collections may find application in situations where real datasets cannot easily be accessed due to confidentiality concerns or practical inconvenience.

A year of HBR's essential thinking on techall in one place.

Solving complex geospatial problems and delivering solutions has never been easier.

This book is intended for anyone interested in learning more about how search works and how it is evaluated.

Question answering (QA) systems on the Web try to provide crisp answers to information needs posed in natural language, replacing the traditional ranked list of documents.

This is an overview and structured analysis of contemporary multilayer network visualization.

Recent data shows that 87% of Artificial Intelligence/Big Data projects don't make it into production (VB Staff, 2019), meaning that most projects are never deployed.

Weighted finite-state transducers (WFSTs) are commonly used by engineers and computational linguists for processing and generating speech and text.

Computational analysis of natural science experiments often confronts noisy data due to natural variability in environment or measurement.