Proof of the SVD lemma
Lectures · 109 · 2 · 12 Jan '21
Hello ! I have some troubles understanding the following statement in the proof: ![ML.jpg](https:…
Maximum log likelihood ?
Lectures · 99 · 2 · 7 Jan '21
Dear TAs, I'm struggling to understand where the log comes from. Is this the maximum likeli…
soft clustering
Lectures · 103 · 3 · 6 Jan '21
Hello, I am having a hard time understanding what the color gradient represents on the graph fro…
Lecture 11 : EM
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_…
lecture 11 EM kmeans
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…
self-supervised vs unsupervised vs supervised
Lectures · 114 · 5 · 28 Dec '20
I have a question regarding text representation learning and what is considered to be supervised or…
PCA
Lectures · 95 · 3 · 27 Dec '20
Dear TAs, I'm struggling to understand why the following statement is not correct: In PCA, the …
word2vec
Lectures · 66 · 1 · 23 Dec '20
Hello, I was going over the word2vec explanation and I am a bit confused about what exactly is bei…
lecture notes 13a
Lectures · 87 · 4 · 23 Dec '20
Hi, I was wondering if it is normal that the slides seen in video of lecture 13 part 1 at time 33…
How to compute U and S efficiently?
Lectures · 87 · 2 · 16 Dec '20
I would like some help to understand this part: $$ \mathbf{U S}_{D}^{2} \mathbf{U}^{\top} \math…
This week's slides?
Lectures · 62 · 4 · 3 Dec '20
Sorry, but I've waited for it for 2 days. It's very hard to read the whole text from the video.
EM, GMM, and K-means - Covariance matrix choice
Lectures · 131 · 3 · 27 Nov '20
Hi! I have a question regarding lecture 11 material (GMM). From the lecture and the formulae, i…