Difference between revisions of "Datasets"

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* [[Data Augmentation]], Data Labeling, and Auto-Tagging
 
* [[Data Augmentation]], Data Labeling, and Auto-Tagging
 
* [[Visualization]]
 
* [[Visualization]]
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** [[Google Facets| Facets]] | [[Google]]...contains two robust [[Visualization]]s to aid in understanding and analyzing machine learning datasets.
 
* [[Master Data Management  (MDM) / Feature Store / Data Lineage / Data Catalog]]
 
* [[Master Data Management  (MDM) / Feature Store / Data Lineage / Data Catalog]]
 
* [[Natural Language Processing (NLP)#Managed Vocabularies |Managed Vocabularies]]
 
* [[Natural Language Processing (NLP)#Managed Vocabularies |Managed Vocabularies]]
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* [http://pathmind.com/wiki/datasets-ml Datasets and Machine Learning | Chris Nicholson - A.I. Wiki pathmind]
 
* [http://pathmind.com/wiki/datasets-ml Datasets and Machine Learning | Chris Nicholson - A.I. Wiki pathmind]
 
* [http://paperswithcode.com/paper/towards-automatic-threat-detection-a-survey/review/ Datasets used in deep learning applications within X-ray security imaging | Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging | Samet Akcay and Toby P. Breckon - Durham University, UK]
 
* [http://paperswithcode.com/paper/towards-automatic-threat-detection-a-survey/review/ Datasets used in deep learning applications within X-ray security imaging | Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging | Samet Akcay and Toby P. Breckon - Durham University, UK]
* [[Google Facets| Facets]] | [[Google]]...contains two robust [[Visualization]]s to aid in understanding and analyzing machine learning datasets.
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Datasets (often in combination with algorithms) are becoming more important themselves and can sometimes be seen as the primary intellectual output of the research. The revelations about [http://news.google.com/topics/CAAqKAgKIiJDQkFTRXdvTkwyY3ZNVEZqYkd4cWMyMDNOQklDWlc0b0FBUAE Cambridge Analytica] highlights the importance of datasets and data collection.  Reference also: [[Privacy in Data Science]]
 
Datasets (often in combination with algorithms) are becoming more important themselves and can sometimes be seen as the primary intellectual output of the research. The revelations about [http://news.google.com/topics/CAAqKAgKIiJDQkFTRXdvTkwyY3ZNVEZqYkd4cWMyMDNOQklDWlc0b0FBUAE Cambridge Analytica] highlights the importance of datasets and data collection.  Reference also: [[Privacy in Data Science]]

Revision as of 11:49, 22 August 2020

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Datasets (often in combination with algorithms) are becoming more important themselves and can sometimes be seen as the primary intellectual output of the research. The revelations about Cambridge Analytica highlights the importance of datasets and data collection. Reference also: Privacy in Data Science

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