Gradient - derivation
CS-433 Exams · 109 · 2 · 7 Jan '21
Hello ! Has anyone developed this with sums and would be willing to share :) I'd be grateful t…
2016 Problem 2 subgradients
CS-433 Exams · 157 · 2 · 7 Jan '21
Hi, I am confused about the solution for this problem. ![2016subgradient.JPG](https://oknoname-…
log of count for co-occurence matrix
CS-433 Lectures · 111 · 3 · 7 Jan '21
Hello, If we used log(#occurence) then the sparse count matrix will have lots of undefined log(0…
Why does adding w*sgn(w) subject perturbed data to upper bound of max norm (epsilon)?
CS-433 Lectures · 53 · 1 · 7 Jan '21
In the paper describing the fast gradient sign method, the authors explain why adversarial samples …
Mock Exam 2018 - Multiple Choice - Regularization
CS-433 Exams · 159 · 3 · 6 Jan '21
Hello, here is a Multiple Choice Question and its solution We add a regularization term becaus…
Explanation on Bayes Formula
CS-433 Exams · 276 · 9 · 6 Jan '21
Hello, in the 2018 midterm, question 2, we are asked to write a probabilistic model such that the s…
how to compute the unitary matrix U?
CS-433 Exercises · 83 · 1 · 6 Jan '21
For theory problem 1, the solution says to compute the matrix U by computing u_j = X v_j. But for m…
Bayesian networks and Belief propagation exercise - Mock exam 2014
CS-433 Exams · 140 · 5 · 6 Jan '21
Hi! Since we didn't do Bayesian networks this year, we are not supposed to know how to do this exer…
Use MSE instead of RMSE
CS-433 Exercises · 94 · 2 · 6 Jan '21
Hello, I don't understand why we can use the MSE for update instead of the RMSE. Technically, it…
mock2018
CS-433 Exams · 151 · 4 · 6 Jan '21
Hi, I am not sure about the reasoning behind how we reach this answer in question 2 of mock 2018…
l1 regularization for features vs l2
CS-433 Project 1 · 207 · 3 · 6 Jan '21
Hi, why is it a "better" /"good" idea to use l1 regularization as a feature selector rather than …
soft clustering
CS-433 Lectures · 103 · 3 · 6 Jan '21
Hello, I am having a hard time understanding what the color gradient represents on the graph fro…
Baye's net and probability question
CS-433 Exams · 143 · 2 · 6 Jan '21
hi! I notice many questions about Baye's net and factorization in past exams, I'm not quite sure…
L1-L2 REG - Which is better ?
CS-433 Lectures · 90 · 3 · 6 Jan '21
Hey, in the lecture notes 3d) we are asked - when and why is sparsity in the model (L1) better…
Mock_2014 - Poisson closed form solution ?
CS-433 Exams · 58 · 1 · 6 Jan '21
![Capture.JPG](https://oknoname-crm1.s3.amazonaws.com/spirit/images/196/aa929880cb194d859d3e9b61c51…
2014 mock exam poisson regression
CS-433 Exams · 107 · 3 · 6 Jan '21
Hello, in the aforementioned exercise we have: ![a.JPG](https://oknoname-crm1.s3.amazonaws.com/sp…
Matrix properties
CS-433 Uncategorized · 88 · 1 · 6 Jan '21
Hello I'm struggling with matrix and vector calculus and in this example in particular there ar…
Poisson exercise - Mock Exam 2014
CS-433 Exams · 120 · 4 · 6 Jan '21
Hi! In the solution of the exercises about Poisson regression, at point b for example, the final ex…
Naive Bayes Classifier exercise - Mock Exam 2014
CS-433 Exams · 211 · 10 · 5 Jan '21
Hi! I am really struggling trying to understand the passages to answer the second question of this …
Potential typos
CS-433 Lectures · 110 · 3 · 5 Jan '21
Hi, In [the lecture notes about ridge regression](https://github.com/epfml/ML_course/blob/master…