SPECIALIZATION

Natural Language Processing

Process, analyze, and generate human language data using natural language processing algorithms.

~45 hours

Learning Objectives

Text PreprocessingWord EmbeddingsRNNs and LSTMsTransformersHugging Face Transformers

Build a sentiment analysis model using a pre-trained Transformer model from Hugging Face.

📖 Learn by Reading

Speech and Language Processing

Dan Jurafsky, James H. Martin

The standard textbook covering all aspects of natural language processing and computational linguistics.

🎥 Learn by Watching

Natural Language Processing with Deep Learning

Stanford University (CS224N) • YouTube • 22:00:00

Detailed lectures on NLP, word embeddings, RNNs, and the mathematical foundations of processing human language.