Explore >> Select a destination
|
You are here 
|
nhigham.com | ||
| | | | |
blog.georgeshakan.com
|
|
| | | | | Principal Component Analysis (PCA) is a popular technique in machine learning for dimension reduction. It can be derived from Singular Value Decomposition (SVD) which we will discuss in this post. We will cover the math, an example in python, and finally some intuition. The Math SVD asserts that any $latex m \times d$ matrix $latex... | |
| | | | |
sookocheff.com
|
|
| | | | | In a purely functional language - like lambda calculus - programs are expressed as nested function calls. Repetition in such an environment requires that nesting of function calls continues until some condition is met. During the repetition, each function passes its result to the next function in the nested chain and this repetition is completed when a test for some condition passes. The repetitive behaviour I've just described is recursion: | |
| | | | |
blog.autarkaw.com
|
|
| | | | | [AI summary] A tutorial explains how to use MATLAB 2018b to solve a system of simultaneous linear equations provided in equation form. | |
| | | | |
sebastianraschka.com
|
|
| | | Previously, I shared an article using multi-GPU training strategies to speed up the finetuning of large language models. Several of these strategies include... | ||
