Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

The development of accurate machine learning algorithms (MLAs) for sleep disorder classification requires analysing, monitoring and diagnosing sleep disorders. ... The proposed algorithms obtained a ...

In this study, SVM (Support Vector Machine) was used for the classification operation. SVM is a machine learning algorithm capable of performing both linear and non-linear classification tasks. It ...

Specialization: Machine LearningInstructor: Geena Kim, Assistant Teaching ProfessorPrior knowledge needed: Calculus, Linear algebra, PythonLearning Outcomes Explain what unsupervised learning is, and ...

In the literature, various methods are proposed for IoT traffic classification using various machine learning algorithms. However, the accuracy of these machine learning algorithms depends on the data ...

Citation: Dou R, Gao W, Meng Q, Zhang X, Cao W, Kuang L, Niu J, Guo Y, Cui D, Jiao Q, Qiu J, Su L and Lu G (2022) Machine learning algorithm performance evaluation in structural magnetic resonance ...