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| | jrhawley.ca
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| | When collecting data from scientific experiments, it's often useful to compare individual samples against each other to see how similar they are. One way to do this is using the...
| | antoinevastel.com
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| | In this article we will see how we can build a recommender system for movies using Python and exploiting the sparsity of the data.
| | 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...
| | doughellmann.com
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| [AI summary] This book provides examples of using Python 3's Standard Library modules to enhance application development, covering topics like text processing, data structures, algorithms, and networking.