Machine-learning analytics tools will reduce the complexity and increase the adoption of the Internet of Things (IoT), according to a new report from ABI Research. The firm estimates that revenue from ...

With its focus on industrial time series data analytics—derived from historians or other data storage platforms—Seeq’s Workbench software is used in the process industries to search, cleanse, model, ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Learning analytics is a data‐driven approach that systematically collects, analyses and reports information about learners and their educational contexts. By harnessing large-scale data from digital ...