Lecture
Lectures: TTh 9:30am - 10:50am, WCH room 143
Discussion: W 11:00 - 11:50 am, Student Success Center | Room 121
Week 1: Introduction & Regular Expressions
Week 2: N-gram Language models (Part I, Part II) [HW1 released]
Week 3: Naive Bayes & Sentiment Analysis [HW1 Due April 21st, Sunday]
Week 4: Evaluation, Midterm 1 April 23rd
Week 5: Logistic Regression & Stochastic Gradient Descent [HW2 Due, Sunday]
Week 6: Word Embeddings & Word2vec [Class over Zoom due to safety precaution]
Week 7: Neural Language Models & Midterm 2, Midterm 2 May 16th Thursday, [HW3 Due, Sunday]
Week 8: RNNs [1,2 with attention], Tuesday class cancelled with Zoom recordings [Part 1 recordings, Part 2], Thursday in-person class
Week 9: Transformers & Pretrained Language Models
Week 10: In context learning & Instruction tuning &RLHF [HW4 Due, Sunday]
Tutorials
Discussion: W 11:00 - 11:50 am, Student Success Center | Room 121
week 1: NLTK and SpaCy
week 2: Regex
week 3: HW1 Q&A (midterm 1 will be similar)
week 4: N-gram
week 5: Naive Bayes (HW2)
week 6: Logistic Regression (HW3)
week 7: Practice midterm 2
week 8: Midterm 2 Q&A
Week 9: RNN QA (HW4)
Week 10: Practice Final QA