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Potential typo
Lectures
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72
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1
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31 Dec '20
Hi,
In [the lecture notes about model selection](https://github.com/epfml/ML_course/blob/master/…
Least squares
Exams
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186
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4
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30 Dec '20
Hello,
Can you please provide some explanations about how these results were found ( the first an…
MSE Proof convexity using definition
Lectures
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117
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3
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30 Dec '20
Hi everyone,
Could you please elaborate the intermediate steps for this computation?
Also, wher…
Question regarding generalization error
Lectures
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141
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3
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30 Dec '20
Hello, in lecture 4 when explaining the upper bound on the true error, I don't understand the role …
Classifying with the kernel K
Lectures
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105
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5
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29 Dec '20
Hello! I can't understand the passages associated to the topic "Classifying with the kernel K" in l…
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_…
Logistic regression equation on the first page
Lectures
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87
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5
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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
Lectures
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94
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2
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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
Lectures
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122
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2
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29 Dec '20
Hello,
I have a question regarding adversarial risk in high dimension. Based on the first exampl…
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…
L2-norm Regularization
Lectures
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90
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2
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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
Exercises
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181
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5
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28 Dec '20
How do you get from:
$$w = (H + \mu I)^{-1} Hw*= (QLQ^T + \mu I)^{-1} QLQ^Tw*$$
to
$$w = Q(L…
exercise lecture 2
Lectures
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42
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1
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28 Dec '20
Hello,
Can you please upload answers to exercise 3 and 4 of lecture 2 (slide 23).
Note: the…
Do constants matter in computational complexity ?
Exercises
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72
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2
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28 Dec '20
For gradient descent, the MSE is given by :
$$\frac{-1}{N}X^{T}(y - Xw)$$
Which for me gives…
Serie 10 Problem 2.1 Retrieving delta*
Exercises
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196
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5
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28 Dec '20
Hi,
I have a question for the last exercise serie problem 2.1. I have been able to get the foll…
Convergence : gradient descent 1-param model
Lectures
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66
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1
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28 Dec '20
How would you prove the convergence of the sequence only for gama in (0;2)?
![Captură de ecran 2…
prove that mean absolute error is convex
Lectures
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124
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2
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28 Dec '20
Hello,
I am struggling a bit to prove that mean absolute error is convex (as asked in lecture 1d…
self-supervised vs unsupervised vs supervised
Lectures
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115
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5
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28 Dec '20
I have a question regarding text representation learning and what is considered to be supervised or…
Question regarding kernelized ridge regression
Lectures
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67
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1
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28 Dec '20
Good morning, I was a bit confused by how the expression for $$\alpha^{*}$$ was obtained in the alt…
Subgradients
Lectures
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189
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4
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28 Dec '20
According to the definition of subgradient
$$
\mathcal{L}(\mathbf{u}) \geq \mathcal{L}(\mathbf{…