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Math and Machine Learning Blog.
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Principal Component Analysis, or PCA, is a fundamental dimensionality reduction technique using in Machine Learning. The general goal is to transform a -dimensional problem into a -dimensional one, where is smaller than . This can …
We all have some problem we are trying to solve. First off, if you can convert the problem to text, or increasingly pdfs, images, video, etc., then you might be able to use AI for …
In a recent YouTube Video I discuss how a cool feature from Amazon could be implemented with Large Language Models. The “Customer Says” feature, as picture here:allows one to See the sentiment of a product …