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Tags: dimensionality reduction* + pca* + text* + python*

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1. Diving into Word Embeddings with EDA

   Exploratory data analysis (EDA) is a powerful technique to understand the structure of word embeddings, the basis of large language models. In this article, we'll apply EDA to GloVe word embeddings and find some interesting insights.

   2024-07-12 Tags: word, embeddings, eda, glove, pca, dimensionality reduction, nlp, text, python by klotz
2. GitHub - lmcinnes/umap: Uniform Manifold Approximation and Projection

   Alternative to t-SNE and PCA

   2018-10-09 Tags: umap, visualization, dimensionality reduction, python, embedding, machine learning, t-sne, pca by klotz

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