"Why did we write this book? We wanted to help financial experts and investors to understand the state-of-the-art of artificial intelligence and machine learning in finance. And so, what is artificial intelligence? The foundations of artificial intelligence lie in the human desire to automate....

"Marketers are storytellers, they write content, marketing strategies and devise internal communications, but unless these stories are evidence-based, they won't be believable or truly persuasive. Stories centred on robust evidence and credible data can withstand challenge, provide meaning,...

This study evaluates the geomorphometric parameters of the topography in Ethiopia using scripting cartographic methods by applying R languages (packages 'tmap' and 'raster') and Generic Mapping Tools (GMT) for 2D and 3D topographic modelling. Data were collected from the open source repositories...

The recent digitization of complete count census data is an extraordinary opportunity for social scientists to create large longitudinal datasets by linking individuals from one census to another or from other sources to the census. We evaluate different automated methods for record linkage,...

Using a large longitudinal, nationally representative workplace-level dataset, we explore the productivity gains associated with computer use and organizational redesign. The empirical strategy involves the estimation of a production function, augmented to account for technology use and...