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Gapminder Foundation. Logo. Gapminder Foundation is a non-profit venture registered in Stockholm, Sweden, that promotes sustainable global development and achievement of the United Nations Millennium Development Goals by increased use and understanding of statistics and other information about social, economic, and environmental development at ...
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Gapminder Tools Offline. Trendalyzer is an information visualization software program for animation of statistics that was initially developed by Hans Rosling 's Gapminder Foundation in Sweden. In March 2007 it was acquired by Google Inc. [1] The current [when?] beta version is a Flash application that is preloaded with statistical and ...
List of datasets in computer vision and image processing. Outline of machine learning. v. t. e. These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning ...
Rosling discusses the book Factfulness in 2018. Ola Rosling (born 1 November 1975 in Uppsala, Sweden) is a Swedish statistician known for his work for the Gapminder Foundation on changing global quality of life. He is the chairman, director and co-founder of the foundation. [1]
Identify possible conditions and treatment related to your symptoms. This tool does not provide medical advice. NEW: This symptom checker now includes the ability to select symptoms by body location. We hope this makes it easier for you to identify your symptoms and possible conditions. The tool also allows you to select multiple symptoms quickly.
Our World in Data (OWID) is a scientific online publication that focuses on large global problems such as poverty, disease, hunger, climate change, war, existential risks, and inequality. It is a project of the Global Change Data Lab, a registered charity in England and Wales, [3] and was founded by Max Roser, a social historian and development ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]