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Companies use machine learning to improve their business decisions. Algorithms select ads, predict consumers’ interest or optimize the use of storage. However, few stories of machine learning applications for public policy are out there, even though public employees often make comparable decisions. Similar to the business examples, decisions by public employees often try to optimize the use of limited resources. Algorithms may assist...
The open-source project R is among the leading tools for data science and machine learning tasks. Given its open-source framework, there are continuous contributions and new package libraries with new features pop up frequently. Currently, the CRAN package repository features 12,525 available packages. This post takes a look at the most popular and useful packages that have set the standards for solving data manipulation, visualization, and...
For individuals, businesses and research institutes working with emerging technologies, it is important to follow and shape societal debates revolving around their field. Sooner or later, societal debates are likely to translate into political action, which may greatly impact work on emerging technologies – for better or worse. Also, if research institutes and businesses aim for more than research results and profit, they’re...
Mobile phone data has a vast scope. Our phones track our location, record social activities by listing who we call or message, and know what we like or what we’re looking for by collecting data on our online behavior and use of apps. The recent Mobile User Demographics Challenge on Kaggle (by the Chinese platform TalkingData ) offers some insight into the volume and precision of the information available on mobile...