Coding from scratch using JAX (30 points)NW.”Using libraries from the JAX ecosystem, code gradient boosting from scratch using the clippedcosinusoidal dataset for the classification task....

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.
GBM was extended to cover a wide range of statistical issues with the addition...