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peterbloem.nl | ||
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qchu.wordpress.com
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| | | | | As a warm-up to the subject of this blog post, consider the problem of how to classify$latex n \times m$ matrices $latex M \in \mathbb{R}^{n \times m}$ up to change of basis in both the source ($latex \mathbb{R}^m$) and the target ($latex \mathbb{R}^n$). In other words, the problem is todescribe the equivalence classes of the... | |
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blog.georgeshakan.com
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| | | | | 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... | |
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matthewmcateer.me
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| | | | | Important mathematical prerequisites for getting into Machine Learning, Deep Learning, or any of the other space | |
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michaelneuper.com
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| | | Introduction The popularity of Jupyter Notebook has surged in recent years as a powerful tool for interactive data analysis and visualization. However, there is an alternative that has been around for a longer time and is proving to be a valuable resource for many programmers: Emacs Org Mode. In this blog post, we will explore how you can replace Jupyter Notebook with Emacs Org Mode for a seamless and efficient literate programming experience. | ||
