Advanced Topics in Machine Learning (Classroom & Asynchronous e-learning)
Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2024050005
S$1,620
Original: S$5,400
Save S$3,780
About This Course
The course introduces advanced topics in machine learning and their applications to real-world problems Sample topics include: data driven modelling, data assimilation, convex learning problems, regularization and stability, multiclass predictors, dimension reduction, feature selection and generation, graphical models, hidden Markov models, Gaussian random field, reinforcement learning and deep learning.
What You'll Learn
The course introduces advanced topics in machine learning and their applications to real-world problems. Sample topics include: data driven modelling, data assimilation, convex learning problems, regularization and stability, multiclass predictors, dimension reduction, feature selection and generation, graphical models, hidden Markov models, Gaussian random field, reinforcement learning and deep learning.
Entry Requirements
Basic knowledge of linear algebra, probability and machines learning programming at entry university level
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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