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Tags: embedding* + word embedding* + machine learning* + google* + nlp*

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1. Understanding BERT: Is it a Game Changer in NLP? - Towards Data Science

   2019-10-12 Tags: bert, nlp, embedding, word embedding, google, facebook, machine learning, deep learning by klotz
2. LSTM is all you need! well, maybe embeddings also. | Kaggle

   2018-11-07 Tags: lstm, embedding, word embedding, glove, tensorflow, deep learning by klotz
3. Dissecting Google's Billion Word Language Model Part 1: Character Embeddings

   2016-09-22 Tags: word embedding, google, nlp by klotz
4. t-SNE – Laurens van der Maaten

   t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets. The technique can be implemented via Barnes-Hut approximations, allowing it to be applied on large real-world datasets. We applied it on data sets with up to 30 million examples. The technique and its variants are introduced in the following papers:

   2021-12-01 Tags: t-sne, laurents van der maaten, google, machine learning, visualization, dimensionality reduction, plot, word2vec, word embedding by klotz

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