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Quantization in machine learning (Part 1): Theory, sample code, analysis of implementation in CatBoost

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by , 10-20-2024 at 03:29 PM (72 Views)
      
   
The article considers the theoretical application of quantization in the construction of tree models No complex mathematical equations are used. While writing the article, I discovered the absence of established unified terminology in the scientific works of different authors, so I will choose the terminology options that, in my opinion, best reflect the meaning. Besides, I will use the terms of my own in the matters left unattended by other researchers. This article will use terms and concepts I have previously described in the article "CatBoost machine learning algorithm from Yandex without learning Python or R". Therefore, I recommend that you familiarize yourself with it before reading the current article.
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