March 2023
Beginner to intermediate
436 pages
9h 20m
Korean
Content preview from 머신러닝 시스템 설계
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
Start your free trial
434
찾아보기
INDEX
Deequ
309
degenerate
feedback
loop
287
deployment
64
,
241
differential
privacy
421
directional
expectation
test
233
discretization
169
distributed
tracing
313
distributed
training
216
Docker
373
Docker
Compose
375
Docker
Hub
373
Dockerfile
373
,
383
DVC
209
,
367
ecommerce
48
,
63
,
330
,
334
edge
262
edge
case
283
,
285
embedding
180
endpoint
242
,
252
,
387
ensemble
48
,
144
,
157
,
203
,
385
event
-
driven
116
explicit
label
134
exploitation
349
exploration
349
Extract
,
Transform
,
Load
(
ETL
)
109
fairness
54
,
411
,
422
false
positive
rate
151
feature
crossing
178
feature
engineering
165
feature
importance
189
feature
store
393
feature
validation
309
feedback
loop
length
134 ...