Information, no matter how important, cannot speak for itself. To tell its story, it relies on us to give it a clear voice. No information is more critical than quantitative data ... numbers that reveal what's happening, how our organizations are performing, and opportunities to…
Reliable data analysis lies at the heart of scientific research, helping you to figure out what your data is really telling you. Yet the analysis of data can be a stumbling block for even the most experienced researcher - and can be a particularly daunting prospect when analyzin…
Bioinformatics encompasses a broad and ever-changing range of activities involved with the management and analysis of data from molecular biology experiments. Despite the diversity of activities and applications, the basic methodology and core tools needed to tackle bioinformati…
Molecular biology is undergoing exponential growth in both the volume and complexity of biological data—and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents an overview of the most recent developments on techniques an…
A comprehensive guide for scientific researchers providing everything they need to know about data management and how to organize, document, use and reuse their data.--
"Machine learning methods, having originated from computational intelligence (i.e. artificial intelligence), are now ubiquitous in the environmental sciences. This is the first single-authored textbook to give a unified treatment of machine learning methods and their application…
Where do you want to go? You might already be working in the information technology field and may be looking to expand your skills. You might be setting out on a new career path. Or, you might want to learn more about exciting opportunities in database management. Wherever you w…
Probability and statistics with R
by Ugarte, María Dolores, Militino, Ana F., Arnholt, Alan
This book presents treatments of data analysis using parametric and nonparametyric techniques. It links statistical concepts with R procedures, anabling the application of the language to the vast world of statistics.