IIRF Online > Development > Data Science > Natural Language Processing > Natural Language Processing
Natural Language Processing by Coursera
Break into NLP. Master cutting-edge NLP techniques through four hands-on courses! Updated with TensorFlow labs in December 2023.
Course Highlights
- Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words.
- 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 networks in 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.
Skills you will learn!
Natural Language Processing
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