Unit 1: B-Trees: Fundamentals and Implementation
Unit 2: KD-Trees: Spatial Data Indexing
Unit 3: R-Trees: Indexing Spatial Objects
Unit 4: Performance Evaluation and Use Cases
Advanced Data Structures and Algorithms for Data-Intensive Applications and AI
Master advanced data structures and algorithms to build high-performance, scalable solutions for data-intensive applications and AI challenges.
Unit 1: PageRank Algorithm
Unit 2: Community Detection Algorithms
Unit 3: Shortest Path Algorithms
Unit 1: Bloom Filters: Efficient Membership Testing
Unit 2: HyperLogLog: Cardinality Estimation
Unit 3: Count-Min Sketch: Frequency Estimation
Unit 1: Fundamentals of Search Algorithms
Unit 2: Informed Search Algorithms
Unit 3: Dynamic Programming Techniques
Unit 1: Quadtrees for Spatial Indexing
Unit 2: Geohashes for Location Encoding
Unit 3: Real-Time Data Processing
Unit 4: Fraud and Anomaly Detection