Praise for the First Edition:". . .

the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation." Tzvetan Semerdjiev, Zentralblatt MathComputational statistics and statistical computing are two areas within statistics that may be broadly describe...

Cyber-solutions to real-world business problems

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Ar...

Many dynamical phenomena seem to be very complex, but have a relatively simple structural cause, which can be discovered by graph-theoretical methods. This textbook describes for numerous scenarios how to use the structural properties of a system to simplify modelling, analysis or design tasks. The readers learn to extract structure graphs from diverse information and to solve problems of systems and control theory in a graph-theoretical way.

The book explains numerous graph-theoretical rep...

You always wanted to start programming or to take up again your programming capabilities left behind some while ago?

R Statistical programming language ® offers a genuine possibility for doing so since this free available tool combines powerful computing with an easy to learn and use framework.

This book helps you to get started with practical calculations in the pension business. Programming code is explained step by step allowing to read and visualise life tables, to calculate the price an...