Moha Movahedmanesh

Results 30 comments of Moha Movahedmanesh

Hi. I've experienced this issue as well. In our workflow, we're disabling selecting text by default (user pans and interact with a lot of things throughout the app, and having...

In the first slide, the slide that shows the category of MLs have 2 typos that need to be fixed. First: Recommender system (is written recommended system) Second: Feature Elimination...

@mahsayazdani the file that needs improvement resides here: `Slides/Chapter_02_Classical_Models/Introduction to ML/Figs/1.jpeg`

There is another issue in here: https://github.com/asharifiz/Introduction_to_Machine_Learning/blob/3a595142161801b224e9fd06b1e447de7dfb0749/Slides/Chapter_02_Classical_Models/Loss/Loss.tex#L269 The definition of this function should replace `cosh` with `Logcosh`.

There is also another improvements that can happen. Ideally after this slide: https://github.com/asharifiz/Introduction_to_Machine_Learning/blob/a78a9025418769af3d4d99d4246b108cd504eff3/Slides/Chapter_03_Train_and_Evaluation/SVM_ML2022.tex#L554

In this slide, there are multiple improvements: https://github.com/asharifiz/Introduction_to_Machine_Learning/blob/main/Slides/Chapter_04_Tabular_Data_Models/Chapter%204%20(ML_Models_for_Tabular_Datasets).pdf 1. The Majority Voting slide should be after soft clustering. 2. In the Why Majority Voting slide, the ensemble error is missing...

3. for the P(k) in the slide above, the condition of k > [n/2] should be removed. (but not for the ensemble error)

On each node, i will make my tree to use random subset of features (sqrt(n)) ![photo_2023-04-09_18-48-18](https://user-images.githubusercontent.com/25137956/230778023-3f85feb1-bac6-4cc0-b55f-0dd2cea89230.jpg) There is a sentence which is not there iand does not convey the sould...

https://github.com/asharifiz/Introduction_to_Machine_Learning/blob/be0f28ab925daae56ef2ae208b97add3cf00441f/Slides/Chapter_05_Deep_Neural_Networks/Introduction-to-NN.tex#L1244 Sample size should be removed in the following picture.

The Fanout notation is described here: https://github.com/asharifiz/Introduction_to_Machine_Learning/blob/be0f28ab925daae56ef2ae208b97add3cf00441f/Slides/Chapter_05_Deep_Neural_Networks/Introduction-to-NN.tex#L1137 It should be added before here: https://github.com/asharifiz/Introduction_to_Machine_Learning/blob/be0f28ab925daae56ef2ae208b97add3cf00441f/Slides/Chapter_05_Deep_Neural_Networks/Introduction-to-NN.tex#L1223