Course Material
Week 1:
- Lecture: Course Info (13.10.2021): Screencast, Slides
Week 2:
- Lecture: Basics (20.10.2021): Screencast, Slides
- Exercise: Syntagmatic and paradigmatic models (21.10.2021): Screencast, Notebook
Week 3:
- Lecture: Linear Algebra I (27.10.2021): Screencast, Slides
- Exercise: Linear Algebra I (28.10.2021): Screencast, Notebook
Week 4:
- Lecture: Linear Algebra II (03.11.2021): Screencast, Slides
- Exercise: Linear Algebra II (04.11.2021): Screencast, Notebook
Week 5:
- Lecture: Building Distributional Models (10.11.2021): Screencast, Slides
- Exercise: Building Distributional Models (11.11.2021): Screencast, Notebook
Week 6:
- Lecture: Singular Value Decomposition (17.11.2021): Screencast, Slides, Demo PCA
- Exercise: Building Distributional Models (continued) (18.11.2021): Screencast, Exercise
Week 7:
- Lecture: Distributional Memory (24.11.2021): Screencast, Slides
- Exercise: Linear Algebra with numpy, SVD (25.11.2021): Screencast numpy, Screencast SVD, notebooks
Week 8:
- Lecture: Linear Regression (01.12.2021): Screencast, Slides
- Exercise: cancelled
Week 9:
- Lecture: cancelled
- Exercise: Linear Regression (09.12.2021)
Week 10:
- Lecture: Logistic Regression (15.12.2021): Screencast, Slides
- Exercise: Logistic Regression (16.12.2021): Screencast, Notebook
Week 11:
- Lecture: Neural Networks (22.12.2021): Screencast, Slides, Video on Neural Nets by 3Blue1Brown
- Exercise: Neural Networks (06.01.22): Screencast, Notebook
Week 12:
- Lecture: Word2vec (12.01.2022): Screencast, Slides
- Exercise: Word2vec (13.01.2022): Screencast, Notebook
Week 13:
- Lecture: Backpropagation (19.01.2022): Screencast, Slides (6 – 43 relevant), Video on derivatives (Khan academy), Video on chain rule (Khan academy)
- Exercise: Backpropagation (20.01.2022): Screencast, Notebook