introduction/brief CV
Khalil El Hindi is a professor, at the Department of Computer Science, King Saud University. His main research interests include machine learning, classification algorithms, nature-inspired Optimization, outlier detection, instance weighing, ensembles of classifiers, similarity distance metrics, and Neural Networks.
publications
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The combination of collaborative deep learning and Cyber-Physical Systems (CPSs) has the potential to improve decision-making, adaptability, and efficiency in dynamic and distributed environments…
Naïve Bayes (NB) classification performance degrades if the conditional independence assumption is not satisfied or if the conditional probability estimate is not realistic due to the attributes…
courses
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This course gives an overview of machine learning concepts, techniques, and algorithms. Topics include Linear Regression, Logistic Regression, Support Vector Machine, Decision Tree Learning, k-…
The course provides an introduction to artificial intelligence. Topics include problem-solving using search (uninformed search, informed search, local search, constraint satisfaction…