View RSS Feed

FinanceGlossy

Quantization in machine learning (Part 2): Data preprocessing, table selection, training CatBoost models

Rate this Entry
by , 04-07-2024 at 04:11 PM (339 Views)
      
   
The article considers the practical application of quantization in the construction of tree models No complex mathematical equations are used. This is the second part of the article "Quantization and other methods of preprocessing input data in machine learning", so I strongly recommend starting your acquaintance with it. Here we will talk about the following:

  • In the first part, we will consider the methods for preprocessing sample data implemented in MQL5.
  • In the second part, we will conduct an experiment that will provide information on the feasibility of data quantization.
more...

Submit "Quantization in machine learning (Part 2): Data preprocessing, table selection, training CatBoost models" to Google Submit "Quantization in machine learning (Part 2): Data preprocessing, table selection, training CatBoost models" to del.icio.us Submit "Quantization in machine learning (Part 2): Data preprocessing, table selection, training CatBoost models" to Digg Submit "Quantization in machine learning (Part 2): Data preprocessing, table selection, training CatBoost models" to reddit

Categories
Uncategorized

Comments