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Algorithms

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AWS Vector Databases Explained: Semantic Search and RAG Systems
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AWS Vector Databases Explained: Semantic Search and RAG Systems

Dearah Mae Barsolasco2025-12-04T07:08:08+00:00

The generative AI (GenAI) revolution has transformed how organizations extract value from their data. While large language models (LLMs) demonstrate remarkable capabilities in understanding and generating human-like text, their true enterprise potential is unlocked only when they can access proprietary, domain-specific information. This necessity has propelled vector databases from a specialized niche into an essential pillar of modern AI infrastructure. But First, What Are Vector Databases? A vector database, as its name suggests, is a type of database designed to store, index, and efficiently search vector embeddings. These vectors are high-dimensional points that represent meaning. At its core, a vector [...]

AWS Vector Databases Explained: Semantic Search and RAG SystemsDearah Mae Barsolasco2025-12-04T07:08:08+00:00

What are Clustering Algorithms in Machine Learning?
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What are Clustering Algorithms in Machine Learning?

Ace Kenneth Batacandulo2025-08-25T06:43:36+00:00

Clustering is an unsupervised learning technique that groups similar data points without predefined labels. It helps discover hidden patterns, segment data, and reduce dimensionality in datasets. Key Concepts Clustering: Grouping data points based on similarity or distance metrics. Unsupervised Learning: No labeled data; the model identifies structure independently. Distance Metrics: Commonly used metrics include Euclidean, Manhattan, and Cosine similarity. Popular Clustering Algorithms 1. K-Means Clustering Divides data into K clusters by minimizing the variance within each cluster. Fast, easy to implement, and works well with large datasets. It requires predefining K and is sensitive to outliers. Customer segmentation, image compression. [...]

What are Clustering Algorithms in Machine Learning?Ace Kenneth Batacandulo2025-08-25T06:43:36+00:00

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