Data science and analysis: general

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

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

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

Great data presentations tell a story.

This volume introduces a new framework for conceptualizing and achieving corpus representativeness in a rigorous, yet practical way.

Digital heritage can mean many things, from building a database on Egyptian textiles to interacting with family historians over Facebook.

Surveys major topics in the epistemology of big data based scientific approaches and defends an inductivist view of these approaches.

People and Data is an innovative exploration of the relationship between non-data professionals and data in an organization's success, and why it is only when they work together that a business can unlock its full potential.

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

A fascinating exploration of how algorithms penetrate the most intimate aspects of our psychologyfrom the pioneering expert on psychological targeting.

This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics.

Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.

Este libro, condensa y adapta distintas prácticas y ejemplos de las herramientas más utilizadas en el análisis de datos: Power BI Desktop, R – RStudio y Knime.

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

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

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

A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "e;language"e; of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods.

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

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

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

Learn how to easily transform your data into engaging, interactive visual reports!

Connects fundamental mathematical theory with real-world problems, through efficient and scalable optimization algorithms.

Presents an analysis and visualization of social networks integrating theory, applications, and professional software for performing network analysis (Pajek).

Understand and harness the power of artificial intelligence to drive growth and innovation with this comprehensive guide.

Praise forEnvisioning the Survey Interview of the Future "e;This book is an excellent introduction to some brave new technologies .

Practical guide for deriving insight and commercial gain from data Monetising Data offers a practical guide for anyone working with commercial data but lacking deep knowledge of statistics or data mining.

Every new tractor now contains built-in sensors that collect data and stream it to cloud-based infrastructure.

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

Digital transformation is a vital practice for organizations trying to keep up with competitors, but with new digital approaches constantly promising to revolutionize the workplace it can feel impossible to keep up.

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

The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science.

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

Computational approaches offer exciting opportunities for us to do social science differently.

The best business decisions and strategies are always data-driven.

A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.

An engaging introduction to data science that emphasizes critical thinking over statistical techniquesAn introduction to data science or statistics shouldn't involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize.

Learn the technical and soft skills you need to succeed in your career as a data analyst.