100YOM.ORG

Unsupervised learning on the other hand is much less dependent on historical data sets and uses specified algorithms draw conclusion without any previously established relationships. In many other scenarios however, depending on the objectives, unsupervised learning is a prudent and cost-effective research method. Overall, key data challenges include Data Availability [labeled vs unlabeled], Data Accessibility, Data Collection Tools and Data Integrity. The research team is continuously and actively mapping out potential sources of data and the level of effort required to access any of these identified potential data sources. In Rwanda preliminary sources include healthcare facilities, the Rwanda Meteorology Agency, The Rwanda Ministry of Health etc... The Rwanda pilot program will review hospital data in 12 selected regional clinics and healthcare facilities as part of the research data collection... Region specific budget will be heavily based on the length of time and the level of..

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