Thanks for checking out Ink. A WordPress theme for meaningful story-telling, built with\u00a0informed design decisions and just the right amount of theme options, that actually make sense.<\/p>\n
Machine learning is the subfield of computer science that “gives computers the ability to learn without being explicitly programmed” (Arthur Samuel, 1959). Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data \u2013 such algorithms overcome following strictly static program<\/a> instructions by making data driven predictions or decisions, through building a model from sample inputs.<\/p>\n Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms is unfeasible; example applications include spam filtering, detection of network intruders or malicious insiders working towards a data breach, optical character recognition (OCR), search engines and computer vision.<\/p>\n![](\"https:\/\/demo.codestag.com\/ink-two\/wp-content\/uploads\/sites\/19\/2016\/12\/23.jpg\")
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| Specifications<\/th>\n | Values<\/th>\n<\/tr>\n |
|---|---|
| Aperture<\/td>\n | \u0192\/9.0<\/td>\n<\/tr>\n |
| Focal Length<\/td>\n | 24.0 mm<\/td>\n<\/tr>\n |
| Exposure time<\/td>\n | 1\/250<\/td>\n<\/tr>\n |
| ISO<\/td>\n | 250<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses in prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field.<\/p>\n
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