COMP 4211 Machine Learning
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This COMP 4211 Machine Learning course provides a broad introduction to machine learning, data mining, and applied mathematics pattern recognition. Topics include: (i) supervised learning. (ii) Unattended learning (clustering, spatial property reduction, recommendr systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation method in machine learning and AI). The course also will draw from various case studies and applications, so you will conjointly learn the way to use learning algorithms to assembling good robots (perception, control), text understanding (web search, anti-spam), pc vision, medical science, audio, information mining, and alternative areas.
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