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L1-L2 REG - Which is better ?
Lectures · 91 · 3 · 6 Jan '21
Hey, in the lecture notes 3d) we are asked - when and why is sparsity in the model (L1) better…
Potential typos
Lectures · 111 · 3 · 5 Jan '21
Hi, In [the lecture notes about ridge regression](https://github.com/epfml/ML_course/blob/master…
second order condition
Lectures · 82 · 2 · 5 Jan '21
Hi, In lecture 2 page 22 formula (2) I don't understand why the condition is stated as positive …
unsupervised learning
Lectures · 99 · 2 · 4 Jan '21
hi, I was wondering how we tune hyperparameters in unsupervised learning (for ex k in K-means). …
Question 4 proofs
Lectures · 65 · 1 · 4 Jan '21
Should we know by hard the proof for lecture 4A? For example, do we need to know by hard the proof …
Cost of ALS
Lectures · 121 · 1 · 4 Jan '21
Hi, I have a few questions regarding the lecture notes of ALS: First of all, what is the cost of…
Week 12: Differentiable Nash equilibrium
Lectures · 108 · 3 · 3 Jan '21
Hi, I have a question regarding the equations shown in slide 5 of the first lecture of week 12: …
Adversarial training and Randomized smoothing
Lectures · 97 · 1 · 3 Jan '21
Hello! I have two questions related to the lecture about Adversarial ML. 1. In the paragraph abou…
GMM - z_n assignments
Lectures · 101 · 2 · 1 Jan '21
Good morning, I was reviewing Gaussian mixture models and am struggling to understand how soft clus…
Using the Hessian to prove that the loss function is convex
Lectures · 166 · 5 · 31 Dec '20
Hi, I have a question regarding the use of the Hessian (H) to prove that the loss function for logi…
Potential typo
Lectures · 72 · 1 · 31 Dec '20
Hi, In [the lecture notes about model selection](https://github.com/epfml/ML_course/blob/master/…
MSE Proof convexity using definition
Lectures · 117 · 3 · 30 Dec '20
Hi everyone, Could you please elaborate the intermediate steps for this computation? Also, wher…
Question regarding generalization error
Lectures · 141 · 3 · 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 · 105 · 5 · 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 · 63 · 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_…
Logistic regression equation on the first page
Lectures · 87 · 5 · 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 · 94 · 2 · 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 · 122 · 2 · 29 Dec '20
Hello, I have a question regarding adversarial risk in high dimension. Based on the first exampl…
lecture 11 EM kmeans
Lectures · 68 · 1 · 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 · 90 · 2 · 29 Dec '20
Hello, I don't understand clearly why the L2-norm regularization term forces the model to be simpl…