Data science and analysis: general

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

How can you carry out discourse analysis using corpus linguistics?

A comprehensive guide to machine learning and statistics for students and researchers of environmental data science.

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Through this book's unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data.

Minds Alive explores the enduring role and intrinsic value of libraries, archives, and public institutions in the digital age.

Don't simply show your data tell a story with it!

Data mining has become the fastest growing topic of interest in business programs in the past decade.

In this explosive memoir, a political consultant and technology whistleblower reveals the disturbing truth about the multi-billion-dollar data industry, revealing to the public how companies are getting richer using our personal information and exposing how Cambridge Analytica exploited weaknesses in privacy laws to help elect Donald Trump.

An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.

In vielen Alltagssituationen spielt der Zufall eine Rolle - in der Stochastik versuchen wir mit mathematischen Mitteln, Strukturen in dieser scheinbaren Regellosigkeit zu erkennen.

Introduces network inspired approaches for the analysis and integration of large, heterogeneous data sets in the life sciences.

Este libro es una guia completa para cualquier persona que desee sumergirse en la programacion de computadoras, independientemente del area o disciplina del conocimiento.

Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education.

Presents the methodology of big data analysis using examples from research and industry There are large amounts of data everywhere, and the ability to pick out crucial information is increasingly important.

An updated edition on membrane biology, providing new high resolution structures of membrane proteins and insights into how they function.

Who is most likely to buy and what is the best way to target them?

Statistics in Language Research gives a non-technical but more or less complete treatment of Analysis of Variance (ANOVA) for language researchers.

The approximation and the estimation of nonparametric functions by projections on an orthonormal basis of functions are useful in data analysis.

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

From world-class qualitative experts comes a practical, step-by-step introduction to doing dyadic interviews.

Data is your business.

Full of practical advice and real-world examples, this step-by-step guide offers you an accessible introduction to doing quantitative social research using Microsoft Excel.

Discusses methods available for longitudinal data analysis in non-technical language, allowing readers to apply techniques to their work.

L'Union Africaine et certaines organisations comme le NEPAD ont élaboré des politiques pour le développement de l'Afrique jusqu'à ce jour.

This valuable text presents methods and techniques for conducting an animal disease surveillance program, and developing an animal health moitoring system.

The GIS Guide to Public Domain Data gives users of geographic information systems (GIS) relevant information about the sources and quality of available public domain spatial data.

A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates.

Master complex problems and face radical uncertainty by unleashing the power of small data Is your business using data to its optimum potential?

Employs basic mathematical skills to teach students how to address topical, real-world problems using quantitative reasoning.

Four leading experts convey the promise of data science and examine challenges in achieving its benefits and mitigating some harms.

'Eye-opening.

A user-friendly, introductory, learning-by-doing bridge between classical and machine learning time series analysis with R.

Comprehensive overview of the spectroscopic, mineralogical, and geochemical techniques used in planetary remote sensing.

Data-driven decision-making is a fundamental component of business success.

Providing clear, practical explanations of research methods in business studies, this guide is indispensable for students writing reports.

This guidebook is for those who want to use computational experiments to support their work in algorithm design and analysis.

Just Plain Data Analysis teaches students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence.