NLP Specialization

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

Description for NLP Specialization

Features of Course

  • 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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