Key Concepts

  • Sentiment Analysis
    • Logistic Regression
    • Naive Bayes
  • Vector Space Models
  • Machine Translation

  • Document Search

  • Autocorrect

  • Part of Speech Tagging
  • Hidden Markov Models
  • Autocomplete
  • Large Language Models

  • Work Embeddings

  • Recurrent Neural Networks

  • LSTMs and Named Entity Recognition

  • Siamese Networks

  • Neural Machine Translation

  • Text Summarization
    • Transformer Architectures
  • Question Answering

Certificates

Coursera NLP Specialization Udacity NLP ND

Certificates Individual Courses

Coursera-Course-1 Coursera-Course-2 Coursera-Course-3 Coursera-Course-4