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blog.someben.com
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| | | | | [AI summary] The article discusses the concept of the 'hashing trick' in machine learning, particularly in the context of natural language processing (NLP). It explains how the hashing trick leverages Zipf's Law, which describes the frequency distribution of words in a language, to reduce the dimensionality of sparse data. By using a hash function to map high-dimensional features into a lower-dimensional space, the hashing trick allows efficient processing of large datasets. The article also touches on the importance of a good hash function with uniformity and cascading properties, as well as comparisons with feature selection methods. Additionally, it mentions the use of the hashing trick in reinforcement learning and its application in ad-click prediction ... | |
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samwho.dev
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| | | | | A visual, interactive introduction to hash functions. | |
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blog.perryizgr8.com
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| | | | | Suppose you have a large number of PDF documents stored in your computer, and every so often keep adding new ones to your collection. A problem that rears its head soon is that you end up with a lot of duplicate documents on your disk. They eat up your storage and are annoying when you want to search for a particular document. | |
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www.jeremymorgan.com
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| | | Want to learn about PyTorch? Of course you do. This tutorial covers PyTorch basics, creating a simple neural network, and applying it to classify handwritten digits. | ||
