Machine Learning Course

Course Description A course on machine learning starting from mathematical principles through to practical applications.  There is an emphasis on high dimensional problems common to high energy physics. The course comprises lectures, homework problems, and analysis projects. This course is mainly aimed at postgraduate students but is also open to applications from staff. Applications are welcome from any department.  The number of places is limited to about 25. Topics of lectures  Intro to data analysis  Classification basics  k-NN, linear and tree classifiers  SVMs, model selection  Regression basics  Neural networks  Ensemble learning (bagging and boosting)  Feature selection  Feature extraction  Application study The course will run throughout each day with a mixture of lectures and exercises. Registration You may register your interest to attend via this form.  The course fee is £220…


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