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Proof of the SVD lemma
Lectures
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110
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2
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12 Jan '21
Hello !
I have some troubles understanding the following statement in the proof:
![ML.jpg](https:…
Maximum log likelihood ?
Lectures
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100
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2
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7 Jan '21
Dear TAs,
I'm struggling to understand where the log comes from.
Is this the maximum likeli…
soft clustering
Lectures
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104
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3
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6 Jan '21
Hello,
I am having a hard time understanding what the color gradient represents on the graph fro…
Lecture 11 : EM
Lectures
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63
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1
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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
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68
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1
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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
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115
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5
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28 Dec '20
I have a question regarding text representation learning and what is considered to be supervised or…
PCA
Lectures
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96
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3
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27 Dec '20
Dear TAs,
I'm struggling to understand why the following statement is not correct:
In PCA, the …
word2vec
Lectures
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68
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1
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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
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87
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4
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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
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88
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2
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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
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62
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4
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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
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131
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3
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27 Nov '20
Hi!
I have a question regarding lecture 11 material (GMM).
From the lecture and the formulae, i…