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Matrix properties
Uncategorized · 88 · 1 · 6 Jan '21
Hello I'm struggling with matrix and vector calculus and in this example in particular there ar…
Poisson exercise - Mock Exam 2014
Exams · 121 · 4 · 6 Jan '21
Hi! In the solution of the exercises about Poisson regression, at point b for example, the final ex…
Naive Bayes Classifier exercise - Mock Exam 2014
Exams · 211 · 10 · 5 Jan '21
Hi! I am really struggling trying to understand the passages to answer the second question of this …
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 …
Are the additional notes/readings at the end of each lecture note required for the exam?
Uncategorized · 154 · 2 · 4 Jan '21
Hi, I'd like to ask if the additional notes/readings at the end of each lecture are within the s…
Dimensions of X in the exam.....
Exams · 164 · 3 · 4 Jan '21
Will the size of the input matrix be mentioned for the multiple question exercises ? In 2016 it's…
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: …
Lab 13- Exercise 3
Exercises · 80 · 1 · 3 Jan '21
Hey ! Could anyone help me deriving the first 2 points of exercise 3 please. I reckon we've don…
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…
Exercise theory solutions
Exercises · 203 · 4 · 3 Jan '21
Would it be possible to get the solutions for exercise 4 (theory question)? Thank you in advance…
Problem 5 in 2018 final exam
Exams · 162 · 2 · 3 Jan '21
Dear TA, ![2018-5.JPG](https://oknoname-crm1.s3.amazonaws.com/spirit/images/562/12d67ef582c2…
Cheat sheet
Exams · 242 · 3 · 2 Jan '21
Is there a cheat sheet allowed
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…
Exam - Bayes net 2019
Exams · 548 · 7 · 31 Dec '20
Hi, Hope you are doing fine. I would like to know if we may encounter an exercise such as the q…
theory question complexity
Exercises · 147 · 4 · 31 Dec '20
Hello, I understand that we consider D different Wi for each dimension but how is the x N obtain…