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DeepRag.AI on Instagram: "PCA explained in one idea: keep the signal, drop the noise. 📉🧠 Principal Component Analysis (PCA) is one of the most important techniques in machine learning, data science, and AI for making complex data understandable. Instead of working with hundreds or thousands of features, PCA finds new directions (principal components) that capture maximum variance in the data. These components are orthogonal, meaning they don’t overlap in information. By projecting data onto ju
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