NLP Specialization

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Begin to explore NLP. Learn the latest NLP techniques through four practical courses! Last updated in October 2021 to incorporate the most recent methodologies.

Key AI Functions:Machine Translation, Transformers, Sentiment Analysis, Word2vec, Attention Models

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Description for NLP Specialization

Implement sentiment analysis, complete analogies, and translate words by employing logistic regression, naïve Bayes, and word vectors.

Utilize dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete, and the identification of part-of-speech identifiers for words.

Utilize Siamese networks, LSTMs, GRUs, and recurrent neural networks in Trax to perform sentiment analysis, text generation, and named entity recognition.

Utilize encoder-decoder, causal, and self-attention to automate the translation of complete sentences, the summarization of text, the development of chatbots, and the answering of questions.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by DeepLearning.AI

Duration: 3 months at 10 hours a week

Schedule: Flexible

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