Word Embeddings
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Word Embeddings
Introduction to word embeddings methods: word2vec, GloVe, and BERT.
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- 0 Rating
- 0 Reviews
- 144 Students Enrolled
Requirements
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General Overview
Description
Word embeddings is a way to let the computer learn the meanings of words. We start from one-hot encoding representation and move on to an accidental yet very important finding of w2v. Then, we demonstrate the engineering thinking of GloVe. Finally, we briefly go through the corner stone of current research on word embeddings, BERT.
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About the Instructor
Research Interest:
- Robust hedging and trading methods
- Cryptocurrency derivatives
- Quantitative finance
Work in Progress
- Hedging Cryptos with Bitcoin Futures
- Crypto-backed Peer-to-Peer Lending
- On dynamics of CP2P Interest Rate