Кластеризация спутниковых снимков с использованием облачных технологий Machine Learning Azure; Технологии Microsoft в теории и практике программирования
| Parent link: | Технологии Microsoft в теории и практике программирования.— 2015.— [С. 236-238] |
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| Κύριος συγγραφέας: | |
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Άλλοι συγγραφείς: | |
| Περίληψη: | Заглавие с титульного листа. This article deals with a modern cloud computing technology - Machine Learning Azure. The technology gives a variety of tools to design the systems which implement popular machine learning algorithms and approaches such as anomaly detection, classification, clustering and regression. It can be used for data analysis in different fields but article shows how it can be used for satellite image processing and recognition. |
| Γλώσσα: | Ρωσικά |
| Έκδοση: |
2015
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| Σειρά: | Облачные технологии в практиках программирования |
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| Διαθέσιμο Online: | http://earchive.tpu.ru/handle/11683/23781 http://www.lib.tpu.ru/fulltext/c/2015/C28/106.pdf |
| Μορφή: | Ηλεκτρονική πηγή Κεφάλαιο βιβλίου |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=614614 |
| Περίληψη: | Заглавие с титульного листа. This article deals with a modern cloud computing technology - Machine Learning Azure. The technology gives a variety of tools to design the systems which implement popular machine learning algorithms and approaches such as anomaly detection, classification, clustering and regression. It can be used for data analysis in different fields but article shows how it can be used for satellite image processing and recognition. |
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