Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

Such introductory courses typically cover multiple branches of AI, such as the fundamentals of AI, machine learning, neural ...

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

Abstract: The work's objective is to assess how well the classification techniques of logistic regression and support vector machine predict handwritten digits. A Digit dataset with 985 records is ...

Abstract: In the context of evaluating machine learning algorithms for binary classification tasks, predicting passenger survival on the Titanic provides a practical benchmark. The research aims to ...