Adding handwritten notes to printed cheatsheet
CS-433 Exams · 122 · 1 · 12 Jan '21
Hi! If we print a cheatsheet which follows the guidelines of having a font size of >= 11 are we …
Mistake SVD annotated lecture
CS-433 Lectures · 94 · 1 · 12 Jan '21
I believe the annotation at the end of the lecture is wrong. I believe it says U <--- EVD(X) wherea…
exam 2017 problem 11
CS-433 Exams · 207 · 3 · 12 Jan '21
Hi, So in exam 2017 problem 11: the answer is as follows: "Since I use a linear activation fun…
conflicting QCM
CS-433 Exams · 327 · 8 · 12 Jan '21
Hello, It seems I can't wrap my head around why in this case: "linear regression can be made to …
Gradient of W§W matrices
CS-433 Exams · 311 · 6 · 12 Jan '21
![Capture_W.JPG](https://oknoname-crm1.s3.amazonaws.com/spirit/images/196/8f9926249a97444cbacb16e1e…
stochastic gradient - problem 19
CS-433 Exams · 177 · 3 · 12 Jan '21
Hi, In this question I use the derivative of the individual summand for the stochastic gradient …
Convexity and NN
CS-433 Lectures · 72 · 2 · 12 Jan '21
Hello, I was wondering why we don't use a convex activation (whose compositions would also be co…
Regulatization and over-parametrized problem
CS-433 Lectures · 74 · 1 · 12 Jan '21
Hi! How does regularization solve this over-parametrized problem? With regularization, the number …
K-means
CS-433 Lectures · 119 · 2 · 12 Jan '21
what is the complexity of k means? Is it N-P hard or O(N.K.D) ?
Final Exam - Problem 17
CS-433 Exams · 211 · 3 · 12 Jan '21
Hello! I can't understand exactly the solution of this problem. Following the graphic of the neural…
Truncated SVD
CS-433 Lectures · 103 · 2 · 12 Jan '21
Hi! I'm a little confused about the dimensions of the matrices. 1) The Uk matrix has size D*K, t…
Proof of the SVD lemma
CS-433 Lectures · 109 · 2 · 12 Jan '21
Hello ! I have some troubles understanding the following statement in the proof: ![ML.jpg](https:…
ALS with missing entries
CS-433 Exercises · 207 · 8 · 12 Jan '21
Hi, I wanted to confirm the inverse is taken after the sum right? it's not a sum of inverses? …
Convexity and unique minimum when matrices are the parameter
CS-433 Lectures · 78 · 1 · 12 Jan '21
Hi, How does the concept of convexity and conditions unique minimum extend to functions that dep…
randomized smoothing
CS-433 Lectures · 67 · 1 · 12 Jan '21
Hello, I don't understand this explanation. So we have a point x that has expected value of clas…
MAP and maximum likelihood criterion
CS-433 Lectures · 213 · 7 · 12 Jan '21
Hello everyone, When reading the lecture note of 5a classification, I found it says that "To …
mock 2014 positive definite even though negative
CS-433 Exams · 117 · 3 · 12 Jan '21
Hello, For the 2rd question on poisson regression: I don't understand why the negative of a posi…
Linear separability for linear regression.
CS-433 Lectures · 326 · 7 · 12 Jan '21
Dear TAs, I am struggling to understand why linear separability matters for linear regression. I…
how do we know link function
CS-433 Lectures · 93 · 3 · 12 Jan '21
Hi, In parameter estimation since we don't know eta, how do we know the link function g needed to…
Why "D vs N does not matter at all"? Final 2017 Problem 18
CS-433 Exams · 264 · 3 · 12 Jan '21
Hi, We discussed the D>N problem in handout 01c. I don't understand why the answer to Problem 18…