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Personalized Internet search and predictions of traffic congestion based on GPS data are examples of machine learning.
Acoustic, image, and PIR data are examples of such traffic.
Sensor data, call centre records, click streams, and health- care data are examples of big data streams.
Things like clerical or typographical errors in the poll books, registration records, and underlying data are examples of occurrences that may get mistaken for voter fraud.
Those articles with human and rat and/or mouse data are examples of basic translational research.
In the reported data are examples of both parents giving way to clinicians and visa versa.
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With this regard, associative memories capturing linkages between data positioned in two (or more) data spaces are examples of commonly considered architectures.
Several cohorts remain incomplete because of missing data: Brazil and Peru are examples of how reported treatment success can increase when data completeness is improved.
Wavelets, entropy analysis, and data mining techniques are examples in this regard.
Cache memories for the instructions and data are classic examples of the make the common case fast paradigm.
GDS, along with coding in schools and open data, are good examples of important initiatives from both Labour and coalition governments, said investor Saul Klein of Index Ventures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com