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Computer Science
Algorithms and Data Structures
Probabilistic Programming and Data Structures
1. Foundational Concepts in Probability and Statistics
2. Probabilistic Programming Foundations
3. Inference Algorithms for Probabilistic Programming
4. Probabilistic Programming Languages and Tools
5. Model Development and Validation
6. Probabilistic Data Structures Theory
7. Membership and Set Operations
8. Cardinality Estimation
9. Frequency Estimation and Heavy Hitters
10. Similarity and Distance Estimation
11. Advanced Probabilistic Data Structures
12. Integration and System Design
13. Applications and Case Studies
Advanced Probabilistic Data Structures
Quotient Filters
Fingerprint Storage
Clustering Strategy
Insertion and Query
Resizing Operations
Skip Lists
Probabilistic Balancing
Level Assignment
Search Operations
Update Operations
Treaps
Binary Search Tree Properties
Heap Property
Random Priorities
Rotation Operations
Randomized Binary Search Trees
Random Insertion
Expected Height Analysis
Balancing Properties
Consistent Hashing
Hash Ring Structure
Virtual Nodes
Load Balancing
Fault Tolerance
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10. Similarity and Distance Estimation
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12. Integration and System Design