{"tema_id":"2864","string":"statistical machine learning","created":"2022-12-07 13:21:32","code":null,"notes":[{"@type":"Definition note","@lang":"en-GB","@value":"\"A subset of data science, falling at the intersection of traditional statistics and machine learning. Machine learning refers to the construction and study of computer\nalgorithms \u2014 step-by-step procedures used for calculations and classification \u2014 that can \u2018learn\u2019\nwhen exposed to new data. This enables better predictions and decisions to be made based on what\nwas experienced in the past, as with filtering spam emails, for example. The addition of \u201cstatistical\u201d\nreflects the emphasis on statistical analysis and methodology, which is the main approach to modern\nmachine learning.\"\nSource: Data-Pop Alliance (2015). Beyond Data Literacy: Reinventing Community Engagement and Empowerment in the Age of Data.\u201d Data-Pop Alliance White Paper Series. Data-Pop Alliance (Harvard Humanitarian\nInitiative, MIT Media Lab and Overseas Development Institute) and Internews. September 2015.\n\nDownload: https:\/\/dspace.mit.edu\/handle\/1721.1\/123471\n\u00a0"}]}