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MS Excel Spreadsheet - 91.4 KB - MD5: f74d069a1c5991a5019d103af88c1d48
MS Excel Spreadsheet - 120.8 KB - MD5: d5371789c0086ad7edf96c11da3e6053
MS Excel Spreadsheet - 112.2 KB - MD5: 1ba4e0c4f26cdb24e98584ffa1bdd974
MS Excel Spreadsheet - 110.3 KB - MD5: aed14375b64bb9e710d6b99b62c97f4d
Tabular Data - 18.4 KB - 24 Variables, 67 Observations - UNF:6:cHJkHHKqlP9vMFoe9DWPWQ==
MS Excel Spreadsheet - 19.5 KB - MD5: 3f75c43c1f7ee978cc7fa28c2de739f6
Jun 14, 2018 - CIMMYT Research Data
Hearne, Sarah; Sonder, Kai; Wilson, Julien, 2018, "SeeD GWAS Panel Accession Collection Site GIS-Derived Environmental Data", https://hdl.handle.net/11529/10548079, CIMMYT Research Data & Software Repository Network, V1
Historic accession collection site environmental data derived from CRU and other data resources.
Jun 13, 2018 - CIMMYT Research Data
Montesinos-López, Abelardo; Montesinos-López, Osval A.; Gianola, Daniel; Crossa, Jose, 2018, "Deep learning genomic-enabled prediction of plant traits", https://hdl.handle.net/11529/10548082, CIMMYT Research Data & Software Repository Network, V1
Machine learning (ML) is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) from data, without being explicitly programmed to do this. ML is closely related to (...
RAR Archive - 53.5 MB - MD5: 501f5155e0ace71d010f4132fb3baa18
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