This is a placeholder - it is quite a raw page and will be developed further when I have time.
Fundamentals of Machine Learning:
Lecture materials
| When... | PDF (imperfect) |
HTML slides |
Jupyter notebook |
|---|---|---|---|
| Pre Lecture 1 - video introduction | 1_intro.pdf | 1_intro.slides.html | 1_intro.ipynb |
| Week 1 | 2_vectors.pdf | 2_vectors.slides.html | 2_vectors.ipynb |
| Week 1 | 3_knn.pdf | 3_knn.slides.html | 3_knn.ipynb |
| Week 1 | 4_concepts.pdf | 4_concepts.slides.html | 4_concepts.ipynb |
| Week 2 | 5_matrices.pdf | 5_matrices.slides.html | 5_matrices.ipynb |
| Week 2 | 6_systems.pdf | 6_systems.slides.html | 6_systems.ipynb |
| Week 2 | 7_decomp.pdf | 7_decomp.slides.html | 7_decomp.ipynb |
| Week 3 | 8_svddemo.pdf | 8_svddemo.slides.html | 8_svddemo.ipynb |
| Week 4 | 9_probstat.pdf | 9_probstat.slides.html | 9_probstat.ipynb |
| Weeks 4, 5 | 10_pca.pdf | 10_pca.slides.html | 10_pca.ipynb |
NOTE: to save the Jupyter notebooks in the last columns above and below, right click them and open in a new tab. This takes you to git hub. Then use the raw button in the window to download the raw text file.
Worksheet and practice materials
| Which... | PDF (imperfect) |
HTML slides |
Jupyter notebook |
|---|---|---|---|
| Worksheet A | A_worksheet.pdf | A_worksheet.slides.html | A_worksheet.ipynb |
| Worksheet B | B_worksheet.pdf | B_worksheet.slides.html | B_worksheet.ipynb |
| Worksheet C (SVD photo demo) | C_svdphoto.pdf | C_svdphoto.slides.html | C_svdphoto.ipynb |
If you are interested in knowing about who is teaching you then you can take a look here at my work home page.