Bayesian methods are a powerful and flexible class of statistical techniques which can be used to solve a large number of problems, In this research, we discuss the use of the Bayesian method in classification problems with binary and vector data The following results were reached in this research, Bayesian methods are a powerful tool for classification problems with binary and vector data. These methods allow us to incorporate prior knowledge, handle missing data, and quantify uncertainty in our predictions. For binary data, Bayesian methods can be used to model the probability of each class given the observed binary values and make predictions for new observations. For vector data, Bayesian methods can be used to model the probability of each class given the observed vector values and make predictions for new observations.
Abd El kareem, Nahed talaat. (2023). The Use of Bayesian Techniques with Binary and Vector Data. مجلة البحوث التجارية المعاصرة, 37(4), 107-122. doi: 10.21608/sjcp.2023.347343
MLA
Nahed talaat Abd El kareem. "The Use of Bayesian Techniques with Binary and Vector Data", مجلة البحوث التجارية المعاصرة, 37, 4, 2023, 107-122. doi: 10.21608/sjcp.2023.347343
HARVARD
Abd El kareem, Nahed talaat. (2023). 'The Use of Bayesian Techniques with Binary and Vector Data', مجلة البحوث التجارية المعاصرة, 37(4), pp. 107-122. doi: 10.21608/sjcp.2023.347343
VANCOUVER
Abd El kareem, Nahed talaat. The Use of Bayesian Techniques with Binary and Vector Data. مجلة البحوث التجارية المعاصرة, 2023; 37(4): 107-122. doi: 10.21608/sjcp.2023.347343
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