01. Introduction to Natural Language Processing / Regular Expressions, Text Normalization and Edit Distance (1)
02. Regular Expressions, Text Normalization and Edit Distance (2) / Language Modeling and with N-Grams (1)
03. Language Modeling and with N-Grams (2) / Entropy and Maximum Entropy Models
04. Naive Bayes Classification and Sentiment / Linear Regression and Logistic Regression
05. Vector Semantics and Embeddings
06. Neural Networks Review for NLP
07. Sequence Processing with Recurrent Networks / Mid-Term Test
08. Encoder-Decoder Review / Attention Model
09. Transformer
10. BERT (Bidirectional Encoder Representations from Transformers) / Transformers by Huggingface (1)
11. Transformers by Huggingface (2)
12. Transformers by Huggingface For Korean (1)
13. Transformers by Huggingface For Korean (2)
14. Transformers by Huggingface For GPT Models
15. Final Test and Project Presentations