Cosine similarity vs Euclidean distance #machinelearning

in this video i have explained:
Do distance and similarity mean different things in Word2Vec?
In this video, using real embeddings, I will prove that they actually measure the same concept—just from opposite directions.
Cosine Similarity vs Euclidean distance

What You’ll Learn:

✅ What is Cosine Similarity? (Range: –1 to +1)
✅ What is Distance? (Range: 0 to 2 or 0 to ∞, depending on metric)
✅ Why Distance ↓ = Similarity ↑
✅ 3D PCA Visualization of Word Clusters
✅ Real Examples

Core ML Concepts Covered:
Embeddings
Cosine Similarity & Distance
Semantic Clustering (via PCA)
Vector Meaning in NLP

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Видео Cosine similarity vs Euclidean distance #machinelearning канала Durgesh Rathod