Difference between revisions of "APB-ML"
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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.
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Milestone Unit: Machine Learning | Milestone Unit: Machine Learning | ||
| − | + | <div style="padding:5px; margin-top:20px; margin-bottom:10px; background-color:#97bed5; font-size:30%; font-weight:200; color: #000000; "> | |
| − | + | (Machine learning milestone) | |
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| − | + | <b>Abstract:</b><br /> | |
<section begin=abstract /> | <section begin=abstract /> | ||
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This unit collects machine learning units into a milestone. | This unit collects machine learning units into a milestone. | ||
<section end=abstract /> | <section end=abstract /> | ||
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| − | + | <!-- ============================ --> | |
| − | + | <hr> | |
| − | + | <table> | |
| − | == | + | <tr> |
| − | === | + | <td style="padding:10px;"> |
| − | < | + | <b>Objectives:</b><br /> |
| − | + | ... | |
| − | *[ | + | </td> |
| + | <td style="padding:10px;"> | ||
| + | <b>Outcomes:</b><br /> | ||
| + | ... | ||
| + | </td> | ||
| + | </tr> | ||
| + | </table> | ||
| + | <!-- ============================ --> | ||
| + | <hr> | ||
| + | <b>Deliverables:</b><br /> | ||
| + | <section begin=deliverables /> | ||
| + | <li><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.</li> | ||
| + | <li><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.</li> | ||
| + | <li><b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]].</li> | ||
| + | <section end=deliverables /> | ||
| + | <!-- ============================ --> | ||
| + | <hr> | ||
| + | <section begin=prerequisites /> | ||
| + | <b>Prerequisites:</b><br /> | ||
| + | *[[APB-ML-Deep_neural_networks|APB-ML-Deep_neural_networks (Deep Neural Networks)]] | ||
| + | *[[APB-ML-h2o|APB-ML-h2o (The h2o Machine Learning Toolkit)]] | ||
*[[APB-ML-mlr|APB-ML-mlr (The mlr R Package)]] | *[[APB-ML-mlr|APB-ML-mlr (The mlr R Package)]] | ||
| − | *[ | + | *[[APB-ML-Random_forests|APB-ML-Random_forests (Random Forests)]] |
| − | *[ | + | *[[APB-ML-RWeka|APB-ML-RWeka (The Weka Machine Learning Toolkit)]] |
| − | *[ | + | *[[APB-ML-Support_Vector_Machines|APB-ML-Support_Vector_Machines (SVM (Support Vector Machines))]] |
| + | <section end=prerequisites /> | ||
| + | <!-- ============================ --> | ||
| + | </div> | ||
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| − | + | {{STUB}} | |
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| − | + | __TOC__ | |
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{{Vspace}} | {{Vspace}} | ||
| − | === | + | === Evaluation === |
| − | + | <b>Evaluation: NA</b><br /> | |
| − | + | <div style="margin-left: 2rem;">This unit is not evaluated for course marks.</div> | |
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== Contents == | == Contents == | ||
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== Self-evaluation == | == Self-evaluation == | ||
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=== Question 1=== | === Question 1=== | ||
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| + | == Further reading, links and resources == | ||
| + | <!-- Formatting exqmples: | ||
| + | {{#pmid: 19957275}} | ||
| + | <div class="reference-box">[http://www.ncbi.nlm.nih.gov]</div> | ||
| + | --> | ||
| + | == Notes == | ||
| + | <references /> | ||
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*0.1 First stub | *0.1 First stub | ||
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{{CC-BY}} | {{CC-BY}} | ||
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| + | {{MILESTONE}} | ||
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Latest revision as of 09:25, 25 September 2020
Milestone Unit: Machine Learning
(Machine learning milestone)
Abstract:
This unit collects machine learning units into a milestone.
|
Objectives: |
Outcomes: |
Deliverables:
Prerequisites:
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.
Evaluation
Evaluation: NA
This unit is not evaluated for course marks.
Contents
...
Self-evaluation
Further reading, links and resources
Notes
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.
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.
