Natural Language Processing Specialization

Course Description

This specialization introduces learners to key NLP methods, focusing on classical ML (logistic regression, Naïve Bayes, word vectors), sequence models (RNN, LSTM, GRU, Siamese), and attention-based models (Transformer, BERT, T5). Understanding these is crucial for building text analytics, conversational AI, translation systems and modern LLM-based tools today.

Tools / Techniques Covered

Trax, TensorFlow, Hugging Face Transformers (BERT, T5, Transformer models); ML tools like logistic regression, Naïve Bayes, HMM, LSTM, GRU, attention mechanisms