Workshops

Workshop exercises are shown below, and will be updated to contain the materials for each week’s classes. Note that workshops begin in week 2.

Week beg.	Topic	Materials
Mon 24/7	No workshops in week 1
Mon 31/7	Review of fundamentals (KNN, evaluation); getting started in python/numpy	Worksheet: 2a_classification-KNN.ipynb 2b_performance_evaluation.ipynb 2a_classification-KNN_answers.ipynb 2b_performance_evaluation_answers.ipynb spambase.data
Mon 7/8	Linear and Polynomial Regression; Regularization	Worksheet: 3a_linear_regression.ipynb 3b_polynomial_regression.ipynb 3a_linear_regression-answers.ipynb 3b_polynomial_regression-answers.ipynb
Mon 14/8	Logistic Regression; Perceptron	Worksheet: 4a_logistic_regression.ipynb 4b_perceptron.ipynb 4b_perceptron_answers.ipynb
Tue 22/8	Artificial Neural Networks	Worksheet: 5_artificial_neural_network.ipynb 5_artificial_neural_network_answers.ipynb 5_ppt_BackPropagation.pdf
Mon 4/9	SVM and Random Forest Classifiers	Worksheet: 7a_SVM.ipynb 7b_random_forest.ipynb cats_gender.csv
Mon 11/9	Gaussian Mixture Models	Worksheet: 8_GMM.ipynb 8_GMM-answers.ipynb
Mon 2/10	Bayesian Linear Regression (updated evidence part)	Worksheet: 9_bayesian_linear_regression.ipynb 9_bayesian_linear_regression-answers.ipynb
Tue 10/10	Probabilistic Graphical Models	Worksheet: 10_PGMs_worksheet.pdf 10_PGMs_worksheet_answers.pdf
Tue 17/10	Stan Modelling Language	Worksheet: 11_worksheet.pdf 11_worksheet.pdf 11a_worksheet_solution_StanModelling.pdf 11b_worksheet_solution_VariableElimination.pdf 11b_PGMs_eliminationAlgorithm.pdf

Slides from Yuan -> [Homepage]
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