layout |
title |
stuff |
default |
Workshops |
date |
title |
show |
2017-07-24 |
No workshops in week 1 |
1 |
|
date |
title |
worksheet |
show |
2017-07-31 |
Review of fundamentals (KNN, evaluation); getting started in python/numpy |
2a_classification-KNN.ipynb |
2b_performance_evaluation.ipynb |
2a_classification-KNN_answers.ipynb |
2b_performance_evaluation_answers.ipynb |
spambase.data |
|
1 |
|
date |
title |
worksheet |
show |
2017-08-07 |
Linear and Polynomial Regression; Regularization |
3a_linear_regression.ipynb |
3b_polynomial_regression.ipynb |
3a_linear_regression-answers.ipynb |
3b_polynomial_regression-answers.ipynb |
|
1 |
|
date |
title |
worksheet |
show |
2017-08-14 |
Logistic Regression; Perceptron |
4a_logistic_regression.ipynb |
4b_perceptron.ipynb |
4b_perceptron_answers.ipynb |
|
1 |
|
date |
title |
worksheet |
show |
2017-08-22 |
Artificial Neural Networks |
5_artificial_neural_network.ipynb |
5_artificial_neural_network_answers.ipynb |
5_ppt_BackPropagation.pdf |
|
1 |
|
date |
title |
worksheet |
show |
2017-09-04 |
SVM and Random Forest Classifiers |
7a_SVM.ipynb |
7b_random_forest.ipynb |
cats_gender.csv |
|
1 |
|
date |
title |
worksheet |
show |
2017-09-11 |
Gaussian Mixture Models |
8_GMM.ipynb |
8_GMM-answers.ipynb |
|
1 |
|
date |
title |
worksheet |
show |
2017-10-02 |
Bayesian Linear Regression (updated evidence part) |
9_bayesian_linear_regression.ipynb |
9_bayesian_linear_regression-answers.ipynb |
|
1 |
|
date |
title |
worksheet |
show |
2017-10-10 |
Probabilistic Graphical Models |
10_PGMs_worksheet.pdf |
10_PGMs_worksheet_answers.pdf |
|
1 |
|
date |
title |
worksheet |
show |
2017-10-17 |
Stan Modelling Language |
11_worksheet.pdf |
11_worksheet.pdf |
11a_worksheet_solution_StanModelling.pdf |
11b_worksheet_solution_VariableElimination.pdf |
11b_PGMs_eliminationAlgorithm.pdf |
|
1 |
|
|
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.
{% for lect in page.stuff %}
{% endfor %}
Week beg. |
Topic |
Materials |
{{ lect.date | date: "%a %-d/%-m" }}
|
{{ lect.title }}
{% for matter in lect.materials %}
{{ matter }}
{% endfor %}
|
{% if lect.show == 1 %}
{% if lect.slides %}
Slides:
{% assign first = 1 %}
{% for matter in lect.slides %}
{% if first == 1 %}
{% assign first = 0 %}
{% else %}
{% endif %}
{{ matter }}
{% endfor %}
{% endif %}
{% if lect.worksheet %}
Worksheet:
{% assign first = 1 %}
{% for matter in lect.worksheet %}
{% if first == 1 %}
{% assign first = 0 %}
{% else %}
{% endif %}
{{ matter }}
{% endfor %}
{% endif %}
{% if lect.reading %}
Reading:
{% assign first = 1 %}
{% for matter in lect.reading %}
{% if first == 1 %}
{% assign first = 0 %}
{% else %}
{% endif %}
{{ matter }}
{% endfor %}
{% endif %}
{% if lect.notebook %}
Notebook:
{% assign first = 1 %}
{% for matter in lect.notebook %}
{% if first == 1 %}
{% assign first = 0 %}
{% else %}
{% endif %}
{{ matter }}
{% endfor %}
{% endif %}
{% endif %}
{% if lect.show == 2 %}
{% if lect.reading %}
<b>Reading: </b>
{% assign first = 1 %}
{% for matter in lect.reading %}
{% if first == 1 %}
{% assign first = 0 %}
{% else %}
<br>
{% endif %}
{{ matter }}
{% endfor %}
<br>
{% endif %}
{% endif %}
|
Slides from Yuan -> [Homepage]
All materials Copyright 2017, The University of Melbourne, and should not be reproduced or distributed without permission.