Coursera – Natural Language Processing Specialization
English | Tutorial | Size: 2.26 GB
Break into NLP. Learn advanced NLP techniques with four practical courses! Updated by TensorFlow laboratories in December 2023.
Use logistic regression, naive Bayes and word vectors to analyze mood, analogy and word translation.
Use dynamic programming, hidden Markov models and incubation of words to implement autocorrection, autocomplete, and determine speech tags for words.
The use of recurrent neural networks, LSTM, GRU and Siamese networks to analyze moods, create texts and recognize named entities.
Use the decoding encoder, causal relationships and auto-attention for machine translation of full sentences, summary text and answers to questions.
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