July 2015
Beginner
80 pages
2h 26m
English
Content preview from Getting Started with SAS Enterprise Miner 14.1
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Index
A
accessibility features 3
Append node 47
Association node 48
AutoNeural node 50
C
Cluster node 48
Control Point node 41, 53
Cutoff node 53
D
Data Partition node 18, 47
data source
create new 11, 43
Data Source Wizard 11, 43
decision tree
and missing value imputation 30
depth 22
leaf size 22
surrogate rules 23
train automatically 22
train interactively 24
Decision Tree node 22, 24, 51
Decisions node 53
DMDB node 48
Dmine Regression node 51
DMNeural node 51
Drop node 49
E
End Groups node 53
Ensemble node 51
Ext Demo node 54
F
File Import node 47
File Importnode 11
Filter node 48
G
Gradient Boosting 27
Gradient Boosting node 51
Graph Explore node 49
graphical user interface
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.