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Example code and materials that illustrate applications of SAS machine learning techniques.
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BayesianNetwork
ML_tables
SAS_EM_ML_examples
SAS_EM_SGF2015_CCPDS
SAS_GWU_examples
SAS_Neural_PatternRecognition
SAS_Py_Patches_PatternRecognition
SAS_UE_Random_Projections
SAS_UE_SGF2016_faces
SAS_UE_TidyData
SAS_Viya_AX2016_faces
SVM
.gitattributes
ContributorAgreement.txt
LICENSE.txt
README.md
SUPPORT.md

README.md

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Example code and materials that illustrate applications of SAS machine learning techniques.

See individual subdirectories for specific examples and instructions.

Contributors include: Funda Gunes, Patrick Hall, Christian Medins, Radhikha Myneni, Jorge Silva, Brett Wujek and Ruiwen Zhang

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