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epfml
EPFL Machine Learning Course, Fall 2021
Lecture 5b page 2 defines the logistic function as e^z / (1+e^z). This formulation is [equivalent to](https://www.wolframalpha.com/input/?i=e%5Ex+%2F+(1+%2B+e%5Ex)) 1/(1+e^(-z)), or 1 - 1/(1 + e^z). Lecture 12a page 5 says that...
Hi, I think I've spotted a few typos in the lecture notes for lecture 6a on Generalized Mixture Models: - **Page 9**, the probability of Gaussian distribution needs to be...
In the slidedeck 12b, the hand-written image Figure 1 could be written in LaTeX using this simple template: https://goo.gl/DZ2QTQ
In the lab 10 there is one function that is the perfect opportunity to use `np.einsum`, a method that turns out to be very useful in practice. It makes it...
Pull implementations.py into main branch, all functions are tested and work with tutorial data sets, but function signatures have not yet been confirmed with the provided grading_tests script.
Given that the task uses `P_big` and `Q_big` of shapes `[x, 80]` at the very end to compare speed, the docstrings should reflect that the functions should generalise over any...
Hello Our repository contains large PDF files (lecture slides, notes, etc.) that are currently being tracked by Git. As the repository grows, this is causing the following issues: Slow performance...
