Introduction_to_Machine_Learning

Introduction_to_Machine_Learning copied to clipboard

May I use the material as the source content of my learning website?

1

Hi, first thank you for your hard work. I'm the founder of AI education website https://codekidz.ai I wanna to ask if I can use the content of your repo as...

sailxjx

Request for Access to Recorded Class Session

2

Hi, I was actively participating in the class, but unfortunately, a power outage interrupted my session, and I was unable to complete it. I was hoping we could access a...

halfbloodhamed

/Slides/Chapter_01_Supervised_Learning) /05-Ensemble Learning/ in page 22 there is a miscalculation in Gain(S,Wind) = 0.940−(8/14)0.811−(6/14)1.0 = **0.48** where the correct answer is **0.048**

hamidrezaen

Added detailed inline comments to the `backward` method to clarify the computation of gradients during the backward pass.

nsafari

The error on the formula in page 20 of the following PDF file does still exist: https://github.com/SharifiZarchi/Introduction_to_Machine_Learning/blob/main/Slides/Chapter_03_Neural_Networks/03-Optimization/03-Optimization.pdf VmJ(wt) must change to mt+1

mjza

This PR fixes several typos and resolves issues with missing files and package dependencies.

javadr

added some visualization for the data to see what we are dealing with. Furthermore, added a little explanation for why the problem and data is more complex than original MNIST.

msghik

Hi, I noticed a possible error on slide 27 of the 02-01-KMeans presentation. I’ve attached a picture for reference—I believe a squared term may be missing. Thanks. 

neginrahimiyazdi

Hi, I noticed a possible error in the slides (02-Linear_Classification, page 40). Shouldn’t it be k = n in LOOCV instead of k = 1? The slide currently states k...

neginrahimiyazdi