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. #

PCA, t-SNE & UMAP help simplify complex omics data—revealing clusters, patterns & key biological insights. 🔥 Join our AI & ML in Bioinformatics Program to learn supervised/unsupervised learning, deep learning, dimensionality reduction & LLMs with hands-on omics projects. 🔗 https://forms.gle/iEizsYKVwbrS7H6f9 | OmicsLogic Inc