Supervised Machine Learning | aiensured.com

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  • čas přidán 3. 06. 2024
  • Supervised Machine Learning
    In several practical analytics scenarios, we need to perform machine learning with the specific output variable. In the case of examples like determining if a person has to be given a credit card or not the output, a variable is discrete and the method is classification.
    In other examples, if we are trying to predict the stock price of a stock by machine learning on several related variables like the previous close, news related to stock, etc. it is regression. Several use cases of supervised learning of regression or classification exist in practical business scenarios.
    This kind of classification or regression can be performed on tabular data or even unstructured data like text or images also. Like we can detect cancer in X-rays or find spam in mails...
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