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Pointwise mutual information. In statistics, probability theory and information theory, pointwise mutual information ( PMI ), [1] or point mutual information, is a measure of association. It compares the probability of two events occurring together to what this probability would be if the events were independent. [2]
ISM's Purchasing Managers Index 1948–2012. Purchasing managers' indexes (PMI) are economic indicators derived from monthly surveys of private sector companies.. The three principal producers of PMIs are the Institute for Supply Management (ISM), which originated the manufacturing and non-manufacturing metrics produced for the United States, the Singapore Institute of Purchasing and Materials ...
DaTscan. A DaTscan is an imagining technique that lets a doctor see how much dopamine is in your brain. If the scan finds an abnormally low amount, it can help confirm your doctor’s Parkinson ...
Sample images from MNIST test dataset. The MNIST database ( Modified National Institute of Standards and Technology database [1]) is a large database of handwritten digits that is commonly used for training various image processing systems. [2] [3] The database is also widely used for training and testing in the field of machine learning.
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 ...
Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. . Released in beta in November 2004, the Google Scholar index includes peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other ...
Google Dataset Search. Google Dataset Search is a search engine from Google that helps researchers locate online data that is freely available for use. [1] The company launched the service on September 5, 2018, and stated that the product was targeted at scientists and data journalists. The service was out of beta as of January 23, 2020.
Datasets can get fairly complicated. A more complicated dataset can be generated by using a synthesizer build. To create a synthesizer build, first use the original data to create a model or equation that fits the data the best. This model or equation will be called a synthesizer build. This build can be used to generate more data.