Week 1: Introduction and Text Categorization
- Week 1: Introduction and Text Categorization
- Week 2: Machine Learning for Text Categorization (Part 1)
- Week 3: Machine Learning for Text Categorization (Part 2)
- Week 4: Distributional Similarity and Word Embeddings
- Week 5: Probability Theory (Part 1)
- Week 6: Probability Theory (Part 2)
- Week 7: N-gram Models
- Week 8: Midterm Review and Exam
- Week 9: Sequence Models (Part 1)
- Week 10: Sequence Models (Part 2)
- Week 11: Structured Learning (Part 1)
- Week 12: Structured Learning (Part 2)
- Week 13: Alignment Models (Part 1)
- Week 14: Alignment Models (Part 2)
- Week 15: Advanced Techniques
- Week 1: Introduction and Text CategorizationReview Assignment
- Week 2: Machine Learning for Text Categorization (Part 1)Review Assignment
- Week 3: Machine Learning for Text Categorization (Part 2)Review Assignment
- Week 4: Distributional Similarity and Word EmbeddingsReview Assignment
- Week 5: Probability Theory (Part 1)Review Assignment
- Week 6: Probability Theory (Part 2)Review Assignment
- Week 7: N-gram ModelsReview Assignment
- Week 8: Midterm Review and ExamReview Assignment
- Week 9: Sequence Models (Part 1)Review Assignment
- Week 10: Sequence Models (Part 2)Review Assignment
- Week 11: Structured Learning (Part 1)Review Assignment
- Week 12: Structured Learning (Part 2)Review Assignment
- Week 13: Alignment Models (Part 1)Review Assignment
- Week 14: Alignment Models (Part 2)Review Assignment
- Week 15: Advanced TechniquesReview Assignment