Development [Coursea] Natural Language Processing Specialization

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DESCRIPTION:

• Use dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete & identify part-of-speech tags for words
• Use recurrent neural networks, LSTMs, GRUs & Siamese network in TensorFlow & Trax for sentiment analysis, text generation & named entity recognition
• Use encoder-decoder, causal, & self-attention to machine translate complete sentences, summarize text, build chatbots & question-answering
• Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words

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