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In the digital age, data has become the driving force behind innovation and growth, transforming industries in its wake. As ...
The European Commission published guidelines that clarify the definition of AI systems under the AI Act, analyzing each component of the definition ...
Regression is one of the fundamental pillars of supervised machine learning (ML). This chapter uncovers the essential ... seeking to gain a solid understanding. It delves into linear regression ...
Objectives This study aimed to compare the performance of five machine learning algorithms ... In supervised learning methods, an observed outcome variable is used to train the model to predict future ...
In today's technological environment, machine learning (ML ... The following are the most significant algorithms used in supervised learning: linear regression; logistic regression; SVM; naive Bayes; ...
Machine learning algorithms have played a significant role in the creation ... (2018) [23] applied machine learning techniques like Linear Regression, Random Forest, Multi-layer Perceptron (MLP), and ...
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