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COSC 6342 Machine Learning

This COSC 6342 Machine Learning course provides a broad introduction to machine learning, data mining, and applied math pattern recognition.

Topics include:

(i) Supervised learning.

(ii) Unattended learning (clustering, spatial property reduction, recommender 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 varied case studies and applications, so you may additionally learn the way to use learning algorithms to put together sensible robots (perception, control), text understanding (web search, anti-spam), vision, medical scientific discipline, audio, information mining, and alternative areas.

More significantly, you may study not solely the theoretical underpinnings of learning, however additionally gain the sensible ability required to quickly and powerfully applying these techniques to new issues.

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