AI News, 13 Machine Learning Data Set Collections
- On Wednesday, October 17, 2018
- By Read More
13 Machine Learning Data Set Collections
With this tool, you can create a map display of scene locations with markers that show each scene’s metadata.
NASA NEX is a collaboration and analytical platform that combines state-of-the-art supercomputing, Earth system modeling, workflow management and NASA remote-sensing data.
Through NEX, users can explore and analyze large Earth science data sets, run and share modeling algorithms, collaborate on new or existing projects and exchange workflows and results within and among other science communities.
The 1000 Genomes Project is an international collaboration which has established the most detailed catalogue of human genetic variation, including SNPs, structural variants, and their haplotype context.
The final phase of the project sequenced more than 2500 individuals from 26 different populations around the world and produced an integrated set of phased haplotypes with more than 80 million variants for these individuals.
The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples.
It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting.
When benchmarking an algorithm it is recommendable to use a standard test database (data set) for researchers to be able to directly compare the results.
- On Saturday, September 21, 2019
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