###### Classifying with the kernel K
CS-433 Lectures · 104 · 5 · 29 Dec '20
Hello! I can't understand the passages associated to the topic "Classifying with the kernel K" in l…
###### Lecture 11 : EM
CS-433 Lectures · 62 · 1 · 29 Dec '20
Hello, I am unsure how to get the update parameters $$\mu_{k}^{(t+1)}$$ , i.e. I try to derive L_…
###### Logistic regression equation on the first page
CS-433 Lectures · 86 · 5 · 29 Dec '20
Hello, I wanted to ask if the equation in the photo is correct to have y in the power in the den…
###### text classification using matrix factorization
CS-433 Lectures · 93 · 2 · 29 Dec '20
Hi there :) I was asking myself how to deal with the test set when using matrix factorization. …
###### Adversarial risk in high dimension
CS-433 Lectures · 121 · 2 · 29 Dec '20
Hello, I have a question regarding adversarial risk in high dimension. Based on the first exampl…
###### lecture 11 EM kmeans
CS-433 Lectures · 67 · 1 · 29 Dec '20
Hi, I understand that as sigma tends to 0 qkn converges towards zkn. But I don't understand why th…
###### L2-norm Regularization
CS-433 Lectures · 88 · 2 · 29 Dec '20
Hello, I don't understand clearly why the L2-norm regularization term forces the model to be simpl…
###### Conclusion of 3.1
CS-433 Exercises · 180 · 5 · 28 Dec '20
###### PCA
CS-433 Lectures · 95 · 3 · 27 Dec '20
Dear TAs, I'm struggling to understand why the following statement is not correct: In PCA, the …
###### alphas in SVMs
CS-433 Lectures · 89 · 2 · 27 Dec '20
Hi, I was reading over the conditions for alpha in SVM. I understand if it is correctly classifi…
###### Covariance matrix
CS-433 Lectures · 110 · 3 · 27 Dec '20
Hi, I was going through the course again, and I was wondering why the covariance matrix is posit…
###### Hard vs Soft Margin SVM interpretation
CS-433 Lectures · 75 · 2 · 26 Dec '20
Hello, I have a doubt about the interpretation I should give to hard/soft margin SVM formulations. …