This reference describes the indicated catalogue. Check with the institution to confirm the current offer and the conditions applicable to your intake.
Description
Advanced Machine Learning Fundamental and advanced concepts in machine learning. Basic concepts: classification, regression, kernel techniques, feature selection, inference, sampling techniques, Bayesian networks, and energy-based models. Advanced topics: representation learning, neural networks for images and sequences, graph neural networks, deep generative models, transfer learning, attention mechanisms.
Reference text in its original language
Advanced Machine Learning Fundamental and advanced concepts in machine learning. Basic concepts: classification, regression, kernel techniques, feature selection, inference, sampling techniques, Bayesian networks, and energy-based models. Advanced topics: representation learning, neural networks for images and sequences, graph neural networks, deep generative models, transfer learning, attention mechanisms.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://brocku.ca/webcal/2024/graduate/cosc.html