Traditional books on machine learning can be divided into two groups ― those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning...

Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This...

The Web is always moving, always changing. As some Web sites come, others go, but the most effective sites have been well established. A Subject Guide to Quality Web Sites provides a list of key web sites in various disciplines that will assist researchers with a solid starting point for their queries. The sites included in this collection...

This book is really the end product of over a decade of work, on and off, on diagrammatic reasoning in artificial intelligence (AI). In developing this book, I drew inspiration from a variety of sources: two experimental studies, the development of two prototype systems, an extensive literature review and analysis in AI,...

The increasing use of computer technology in many areas of economic, scientific, and social life is resulting in large collections of digital data. The amount of data which is created on and stored in computers is growing from day to day. Electronic database facilities are common everywhere and can now be considered a standard technology....