Ahoi hoi folks,
as I have various smaller points I would like to mention/outline, I thought creating a comprehensive post would be better than creating one for each. However, if the latter is preferred, I can of course also adapt things accordingly. Please just let me know. Within the comments/points, typos and words/phrases that should be added/changed are marked in bold .
- Video:
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assuming there was a pointer, it was not visablehighlight zones added - presenter said “9 poly” when “5 poly” is shown
- maybe add “Goals” to beginning of video
- content could/should be in parts included in previous section
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- Overfit-generalization-underfit
- below cell 3: not clear what sentence refers to
- Validation curve: “This curve can also be applied to the above experiment and varies the value of a hyperparameter.”
- cell 7, last bullet point: “In this region, the models create decisions specifically for noisy samples harming its ability to generalize to test data.”
- cell 7, below bullet points: “However**,** the testing error is minimal, and this is what really matters."
- Effect of the sample size in cross-validation
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cell 5: “…the curve curve.”fixed - cell 6: maybe add more information wrt to training and testing errors, as they show vastly different behavior
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- Exercise M2.01:
- cell 1: “Also, this classifier can become more flexible/expressive by using a so-called kernel. The model becomes non-linear. “ → maybe rephrase and add more information
- Quiz 6:
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Question 2: “Assuming that we have a dataset with little noise,…”fixed
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I hope these points/comments are understandable. If not, please let me know if you have questions.
HTH, cheers, Peer