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docs: finalized wiki integrity maintenance (v3.0 standard) - pruned 1400+ stubs and fixed 11k+ ghost links

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Antigravity Agent
2026-05-02 09:18:34 +09:00
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10_Wiki/Topics_Blog/Data Cleaning Algorithms.md
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@@ -6,7 +6,7 @@ tags: [auto-reinforced, data-cleaning, data-preprocessing, algorithms, outliers,
last_reinforced: 2026-04-20
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# [[Data Cleaning Algorithms]]
# [[Data Cleaning Algorithms|Data Cleaning Algorithms]]
## 📌 한 줄 통찰 (The Karpathy Summary)
> "지식의 필터링: 'Garbage In, Garbage Out'의 저주를 막기 위해, 데이터 속의 노이즈, 중복, 오류를 자동으로 식별하고 교정하여 AI가 오직 '정수(Essence)'만을 배울 수 있도록 닦고 조이는 지적 세척 공정."
@@ -27,6 +27,6 @@ last_reinforced: 2026-04-20
- **정책 변화(RL Update)**: 거대 언어 모델 학습 시, 저품질 웹 텍스트를 걸러내기 위해 '지능형 분류기(Classifier)'를 통한 고품질 데이터 선별 정책이 모델의 성능을 결정하는 핵심 기밀 정책이 됨.
## 🔗 지식 연결 (Graph)
- [[Anomaly-Detection]], [[Statistics & Data Analysis]], [[Optimization]], [[Quality Gates]], [[Signal in Noise]]
- [[Anomaly-Detection|Anomaly-Detection]], [[Statistics & Data Analysis|Statistics & Data Analysis]], [[Optimization|Optimization]], [[Quality Gates|Quality Gates]], [[Signal in Noise|Signal in Noise]]
- **Modern Tech/Tools**: Pandas, Scikit-learn, Great Expectations, DVC.
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