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Tags: t-sne* + python*

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1. An easy and efficient way to explore a large quantity of images | by Jordan Thieyre | Sep, 2020 | Towards Data Science

   2020-10-06 Tags: image, classification, eda, tableau, jupyter, python, tsne by klotz
2. Midnight Hack Episode 2: Contextual search & grouping of Emojis using Document Embedding

   2020-02-18 Tags: emoji, embedding, t-sne, machine learning, python by klotz
3. An Introduction to t-SNE with Python Example - Towards Data Science

   2020-01-07 Tags: t-sne, candisc, python, statistics, r, discrimination, clustering by klotz
4. Deep Learning for Single Cell Biology – Towards Data Science

   2019-05-08 Tags: dimensionality reduction, tensorflow, tsne, pca, autoencoder, deep learning, biology, genetics, cells, rna by klotz
5. 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
6. “Learn TensorFlow, the Word2Vec model, and the TSNE algorithm using rock bands”

   2018-08-19 Tags: tensorflow, tsne, kmeans, word2vec, machine learning, clustering, classification by klotz
7. An Introduction to t-SNE with Python Example

   2018-08-16 Tags: t-sne, python, visualization by klotz
8. An Introduction to t-SNE with Python Example

   2018-08-16 Tags: t-sne, dimensionality reduction, python by klotz
9. word2vec-pride-vis/tsne.py at master · arnicas/word2vec-pride-vis

   I used a Python t-SNE library to reduce the 200 feature dimensions for each word to 2 dimensions and plotted them in matplotlib. I saved out the x/y coordinates for each word in the book, so that I can show those words on the graph as you mouse over the replaced (blue) words.

   2016-05-19 Tags: t-sne, similarity, dimensionality reduction, pca, python, word2vec, matplotlib by klotz

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