Natural Language Processing Specialization
Offered by Deeplearning.ai through
Coursera
In this course I have learned to use logistic regression, naïve Bayes, word vectors to implement sentiment analysis, complete analogies & translate
words, dynamic programming, hidden Markov models, word embeddings to implement autocorrect, autocomplete & identify
part-of-speech tags for words, recurrent neural networks, LSTMs, GRUs & Siamese network in TensorFlow & Trax for sentiment analysis, text
generation & named entity recognition, encoder-decoder, causal, & self-attention to machine translate complete sentences, summarize text, build chatbots &
question-answering.