Hello World!

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.