PCA Explained in 2 Minutes | Principal Component Analysis Made Easy
2:29
YouTubeThinkTech
PCA Explained in 2 Minutes | Principal Component Analysis Made Easy
PCA, yaani Principal Component Analysis, ek powerful dimensionality reduction technique hai jo complex data ko simple patterns mein convert kar deta hai. Is short video mein hum samjhenge ki AI kaise high-dimensional data ko sirf 2–3 components mein compress karke faster aur smarter banata hai. Perfect for ML beginners, data science students ...
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Artificial Intelligence | AI on Instagram: "PCA: Simplifying Complex Data with Smart Compression 🎯 Principal Component Analysis (PCA) is a powerful dimensionality reduction technique that finds key patterns in complex datasets. 💡 How does it work? - Identifies principal components—new axes capturing the most important variations 📊 - Reduces high-dimensional data while preserving key information 🔍 - Helps uncover hidden patterns in data 🤖 PCA is widely used in AI, finance, image processing,
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