Difference between revisions of "APB-ML"
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== Abstract == | == Abstract == | ||
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This unit collects machine learning units into a milestone. | This unit collects machine learning units into a milestone. | ||
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== This unit ... == | == This unit ... == | ||
=== Prerequisites === | === Prerequisites === | ||
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*[http://steipe.biochemistry.utoronto.ca/abc/students/index.php/APB-ML-Deep_neural_networks APB-ML-Deep_neural_networks (Deep Neural Networks)] | *[http://steipe.biochemistry.utoronto.ca/abc/students/index.php/APB-ML-Deep_neural_networks APB-ML-Deep_neural_networks (Deep Neural Networks)] | ||
*[http://steipe.biochemistry.utoronto.ca/abc/students/index.php/APB-ML-h2o APB-ML-h2o (The h2o Machine Learning Toolkit)] | *[http://steipe.biochemistry.utoronto.ca/abc/students/index.php/APB-ML-h2o APB-ML-h2o (The h2o Machine Learning Toolkit)] | ||
| − | *[ | + | *[[APB-ML-mlr|APB-ML-mlr (The mlr R Package)]] |
*[http://steipe.biochemistry.utoronto.ca/abc/students/index.php/APB-ML-Random_forests APB-ML-Random_forests (Random Forests)] | *[http://steipe.biochemistry.utoronto.ca/abc/students/index.php/APB-ML-Random_forests APB-ML-Random_forests (Random Forests)] | ||
*[http://steipe.biochemistry.utoronto.ca/abc/students/index.php/APB-ML-RWeka APB-ML-RWeka (The Weka Machine Learning Toolkit)] | *[http://steipe.biochemistry.utoronto.ca/abc/students/index.php/APB-ML-RWeka APB-ML-RWeka (The Weka Machine Learning Toolkit)] | ||
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=== Objectives === | === Objectives === | ||
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=== Outcomes === | === Outcomes === | ||
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=== Deliverables === | === Deliverables === | ||
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*<b>Time management</b>: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit. | *<b>Time management</b>: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit. | ||
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*<b>Journal</b>: Document your progress in your [[FND-Journal|Course Journal]]. Some tasks may ask you to include specific items in your journal. Don't overlook these. | *<b>Journal</b>: Document your progress in your [[FND-Journal|Course Journal]]. Some tasks may ask you to include specific items in your journal. Don't overlook these. | ||
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*<b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]]. | *<b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]]. | ||
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== Contents == | == Contents == | ||
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== Notes == | == Notes == | ||
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<references /> | <references /> | ||
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<div id="ABC-unit-framework"> | <div id="ABC-unit-framework"> | ||
== Self-evaluation == | == Self-evaluation == | ||
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{{CC-BY}} | {{CC-BY}} | ||
Revision as of 01:03, 6 January 2018
Milestone Unit: Machine Learning
Keywords: Machine learning milestone
Contents
Sorry!
This page is only a stub; it is here as a placeholder to establish the logical framework of the site but there is no significant content as yet. Do not work with this material until it is updated to "live" status.
Abstract
This unit collects machine learning units into a milestone.
This unit ...
Prerequisites
- APB-ML-Deep_neural_networks (Deep Neural Networks)
- APB-ML-h2o (The h2o Machine Learning Toolkit)
- APB-ML-mlr (The mlr R Package)
- APB-ML-Random_forests (Random Forests)
- APB-ML-RWeka (The Weka Machine Learning Toolkit)
- APB-ML-Support_Vector_Machines (SVM (Support Vector Machines))
Objectives
...
Outcomes
...
Deliverables
- Time management: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.
- Journal: Document your progress in your Course Journal. Some tasks may ask you to include specific items in your journal. Don't overlook these.
- Insights: If you find something particularly noteworthy about this unit, make a note in your insights! page.
Contents
...
Further reading, links and resources
Notes
Self-evaluation
If in doubt, ask! If anything about this learning unit is not clear to you, do not proceed blindly but ask for clarification. Post your question on the course mailing list: others are likely to have similar problems. Or send an email to your instructor.
About ...
Author:
- Boris Steipe <boris.steipe@utoronto.ca>
Created:
- 2017-09-17
Modified:
- 2017-09-18
Version:
- 0.1
Version history:
- 0.1 First stub
This copyrighted material is licensed under a Creative Commons Attribution 4.0 International License. Follow the link to learn more.
