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NLP Engineer Interview Preparation
Aug. 11, 2022, 1:40 p.m. | /u/QadriShyaari
Natural Language Processing www.reddit.com
* Transformers, GPT, BERT
* MLM vs Causal
* Attention
* Seq2Seq
* Word2Vec
* LSTM, GRU
* Stemming, Lemmatization, Stopwords
* Metrics (BLEU, ROUGE, F1)
* Clustering (LDA, K-means)
* Naive Bayes, Support Vector Machine, Linear Regression
* TF-IDF
* HMM
Now this position is related to an engineering position …
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