Content platforms thrive on suggesting related content to their users. The more relevant items the platform can provide, the longer the user will stay on the site, which often translates to increased ad revenue for the company. If you've ever visited a news website, online publication, or blogging platform, you've likely been exposed to a recommendation engine. Each of these takes input based on your reading history and then suggests more content you might like. As a simple solution, a platform might implement a tag-based recommendation engine -- you read a "Business" article, so here are five more articles tagged "Business."

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The online version of the book is hosted at geocompr.robinlovelace.net.

Researchers have warned that millions of human workers will be replaced by robots over the next few decades, leaving many to wonder what sectors are most at risk. Now, a website powered by machine learning has gathered data from an Oxford University report to uncover which positions are likely to be replaced by machines. Called'Will Robots Take My Job', the tool lets users type in their occupation and provides them with a replacement estimate and automation risk – it also reveals if'you are doomed' or are'totally safe'. A website powered by machine learning has gathered data from an Oxford University report to uncover which positions are likely to be replaced by machines. Called ' Will Robots Take My Job ', the tool lets users type in their occupation and provides an estimate and automation risk'Will Robots Take My Job' is a machine learning tool that gathers data from a 2013 Oxford University reported entitled, 'The Future of Employment: How susceptible are jobs to computerization'.