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This wiki is a collaborative platform created to share useful information among students studying Computer Science or related fields, as well as professionals working in the industry. As a fully open wiki, you—yes, you, who are reading this screen—can contribute immediately. Please add or edit articles on topics related to Computer Science and its subfields right now. Your contributions benefit everyone.
This wiki aims to provide deeper coverage of Computer Science topics compared to Wikipedia.
Categories related to Computer Science include artificial intelligence, data science, algorithms, databases, systems engineering, and more. While we welcome a broad range of topics, please note that articles completely unrelated to the field, such as the history of medieval Europe, may simply be categorized under "Miscellaneous."
Recent Page List[편집 | 원본 편집]
Recent 30 Pages of Each Category
Network Category[편집 | 원본 편집]
- Main Page
- DNS PROBE FINISHED NXDOMAIN
- Routing Table
- Longest Prefix Matching
- Forwarding Table
- Network Plane
- OpenFlow Controller
- TIME WAIT state
Database Category[편집 | 원본 편집]
- Distributed Two-Phase Locking
- Primary Copy Two-Phase Locking
- Primary Site Two-Phase Locking
- Distributed Database
- Distributed Query Processing
- Multiversion Concurrency Control
- Timestamp-Based Protocol
- Lock-Based Protocol
- Two-Phase Locking
- Concurrency Control
- Isolation Level (Database)
- Non-Repeatable Read
- Dirty Read (Database)
- Precedence Graph
- Serializable (Database)
- Write-Ahead Logging
- Durability (ACID)
- ARIES
- Multiple Granularity Locking
- Phantom Record
:Category:Data Science[편집 | 원본 편집]
- Model Evaluation
- Observational Machine Learning Method
- Propensity Score Matching
- Causal Graph
- Principal Component Analysis
- Singular Value Decomposition
- Dimensionality Reduction
- Dendrogram
- Hierarchical Clustering
- K-Means++
- Holdout (Data Science)
- Diaper-Beer Syndrome
- Leakage (Data Science)
- Ensemble Learning
- Boosting
- Bootstrap Aggregating
- Min-Max Scaling
- Time Series Data
- Lagged Time Series
- Shapley Value
- SHAP Analysis
- Beeswarm Plot
- Waterfall Plot
- Extrapolation (Data Science)
- Confounder (Data Science)
- Missing Data
- Normalization (Data Science)
- Bias-Variance Trade-Off
- N-Fold Cross-Validation
- Undersampling
:Category:Artificial Intelligence[편집 | 원본 편집]
- Gradient Descent
- Deep Neural Network
- Multi-Layer Perceptron
- Perceptron
- Neural Network
- Machine Learning
- Deep Learning
- Similarity (Data Science)
- Cross-Validation
- Underfitting
- Overfitting
- Unsupervised Learning
- Supervised Learning
- Recommender System
- Collaborative Filtering
:Category:Machine Learning[편집 | 원본 편집]
:Category:Deep Learning[편집 | 원본 편집]
No pages meet these criteria.
