Content preview from MLOps 도입 가이드

199
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A
B
A
/
B
테스트
56
affinity
109
AIOps
21
alternative
hypothesis
122
Auditability
95
batch
scoring
108
blue
-
green
109
C
California
Consumer
Privacy
Act
57
canary
deployment
109
canary
release
109
certainty
101
classification
model
67
Continuous
Delivery
104
Continuous
Integration
104
Cross
-
testing
78
D
data
lineage
59
DataOps
25
declarative
112
DevOps
24
domain
classifier
126
E
F
embedding
73
fairness
81
Feature
Store
75
G
General
Data
Protection
Regulation
57, 145
Generalization
Capacity
67
GxP
143
H
I
horizon
189
human-in-command design
180
impact
coding
72
K
M
KPI
44
modeling
dept
74
ModelOps
21
N
O
normative
disaggregation
197
null
hypothesis ...
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Publisher Resources
ISBN: 9791162245507