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jaykmody.com
| | sebastianraschka.com
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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | 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...
| | blog.lukesalamone.com
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| | Check out this interactive K-means clustering demo and learn how to speed it up 21x!
| | 3zanders.co.uk
42.7 parsecs away

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| A basic tutorial on creating a modern OpenGL context and getting a simple triangle drawn to the screen.