Soledad Galli | Data Scientist on Instagram: "Ever wondered how algorithms like UMAP turn complex, high-dimensional data into something we can see in 2D or 3D? 🌌 It works by preserving the key relationships and patterns between data points, capturing the shape (or manifold) your data creates in higher dimensions. In our Clustering & Dimensionality Reduction course, you’ll learn how this magic happens step-by-step from theory to Python implementation. 🧠💻 🎓 Learn more - link in bio/comments. #
1:49
Instagramsoledadgalli_
Soledad Galli | Data Scientist on Instagram: "Ever wondered how algorithms like UMAP turn complex, high-dimensional data into something we can see in 2D or 3D? 🌌 It works by
UMAP is a powerful algorithm that maps high-dimensional data into lower-dimensional space while preserving essential relationships and patterns. By understanding the basics of UMAP, you can unlock insights and visualize complex data in a more manageable way. From theory to Python implementation, this course will guide you through the process ...
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Beautiful 3D visualization of how semantic search works in RAG: Thousands of points text chunks in the knowledge base. Similar meaning → points cluster close together. Enter a query → relevant… | Vitalii Chelpanov
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