help with this machine learning assignment using python and JAXlinks for question 1 that hyperlink...

Question

help with this machine learning assignment using python and JAX

links for question 1 that hyperlink by "this, this, and this"

1.https://explained.ai/gradient-boosting/

2.https://www.kaggle.com/code/kashnitsky/topic-10-gradient-boosting/notebook

3.https://www.gormanalysis.com/blog/gradient-boosting-explained/

summarize the technique including equations for question 1

for q2

link for the classification task

1.https://www.kaggle.com/code/kashnitsky/topic-10-gradient-boosting?scriptVersionId= XXXXXXXXXX&cellId=15

q3

link to EMG dataset

https://archive.ics.uci.edu/ml/datasets/EMG+Physical+Action+Data+Set

link for a demonstration of similar application

https://archive.ics.uci.edu/ml/datasets/EMG+Physical+Action+Data+Set

q1-uc1taqzt.jpg q2-d1pifax3.jpg q3-oldhyfgt.jpg gradient-boosting-ensemble-predicition-method-abahzen2.ipynb

Amar Kumar · Accepted Answer

Q1.
Practitioners of machine learning would be wise to be familiar with the workings of gradient boosting machines (GBMs), which are currently enjoying a lot of popularity.Sadly, modifying the hyper-parameters necessitates these specifics, which creates a problem because it is challenging to comprehend all of the mathematical machinery.Unlike Random Forests, for instance, the hyper-parameters must be tuned in order to produce a good GBM model.)Our goal is to provide visual representations for model construction, a clear mathematical explanation, and answers to difficult questions like why GBM is performing "gradient descent in function space" in this article.

help with this machine learning assignment using python and JAXlinks for question 1 that hyperlink by "this, this, and...

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