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 Cambridge Analytica highlights the importance of datasets and data collection. Reference also: Privacy in Data Science

Sources

• Kaggle Datasets
• UC Irvine Machine Learning Repository
• MNIST database
• Registry of Open Data | on AWS
• Open Images | Google
• The Open Machine Learning project | OpenML.org
• Datasets | Wikipedia
• Neural Net Repository | Wolfram
• Open Data for Deep Learning & Machine Learning | 4j
• Wind Turbine Map and Database | USGS & DOE
• Autosomal DNA
• EMBER; benign and malicious Windows-portable executable files | Endgame
• Pascal Visual Object Classes Challenge (VOC)
• OpenNASA

Articles

• The 50 Best Free Datasets for Machine Learning | Meiryum Ali
• The 50 Best Public Datasets for Machine Learning | Stacy Stanford - Medium 

• Human in the Loop...
  • Amazon Mechanical Turk (MTurk) - Using MTurk with Amazon SageMaker for Supervised Learning (ML)
  • Gengo.ai - high-quality multilingual data with a human touch for machine learning
  • Figure Eight CrowdFlower AI - build a state-of-the-art machine learning model trained with human labeled data