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projects [2015/10/20 13:45]
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projects [2016/09/01 09:29]
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-====== Project/​Final Assignment: It's Up To You  ====== 
  
-What concepts or methods from the machine learning field interest you 
-the most?  This final assignment is your chance to explore these interests. 
-Projects can include: 
- 
-  * Exploring variants of an algorithm studied in class. ​ Such a project would compare the performance of the variants across a number of datasets (e.g. taken from the UCI ML repository). 
-  * Duplicating a result reported in a publication. 
-  * Applying ML techniques to a dataset that you have personal interest in.  We can provide ideas from bioinformatics and EEG data analysis (Chuck Anderson who works on brain-computer interfaces would be happy to talk to you about that). ​ See e.g. data from [[http://​www.bbci.de/​competition/​ | BCI competitions]]. 
-  * Exploring algorithms not studied in class. 
-  * Exploring issues such as over fitting, to obtain a better understanding of when it occurs for high dimensional data, and which algorithms are more susceptible. 
-  * Participate in a machine learning competition among the ones available at the [[https://​www.kaggle.com/​competitions | kaggle]] website. 
- 
-You are required to work in pairs for the project. 
-Three member teams will be allowed, but the need for the team should be justified to the instructor. 
- 
-One report is submitted per team.  Clearly define what the responsibility of each team member. 
- 
-Each team will present their work in a poster session that will be held during the last week of classes. 
- 
-Your project needs to demonstrate you have learned something new about machine learning. 
- 
-===== Requirements ===== 
- 
-==== Proposal ==== 
- 
-Submit via Canvas a proposal by **November 5th** describing 
-  * the machine learning concept or method that you find interesting,​ 
-  * the steps you will take to investigate it, 
-  * who is on your team,  
-  * what each team member will do, and 
-  * a list of at least four key steps your team will complete and the dates by when they will be completed. 
- 
-Only one person from your team should submit the proposal via Canvas. ​ Proposals are limited to two pages. 
- 
-==== Written Report ==== 
- 
-Submit via Canvas the PDF file of your written report by midnight **December 15th**. ​ Remember, your report must clearly describe what each team 
-member did; all members of the team need to participate in the writing. 
- 
-Only one person from your team should submit the final report. ​ In grading, each team member'​s contribution will be taken into account. 
- 
- 
-==== Poster Presentations ==== 
- 
-This is only for students in the on-campus section. 
- 
-===== Grading ===== 
- 
-Here is what the grade sheet will look like for this assignment. 
- 
-<​code>​ 
-CS545: Final Assignment ​                    Name: ________________________ 
- 
-Grade: ___ out of 100 points 
- 
-====================================================================== 
-Proposal: ​ 10 points 
- 
-  (3 points): Good introduction and motivation for project. 
-  (4 points): Clear plan. 
-  (3 points): Clear team member responsibilities. 
- 
-====================================================================== 
-Poster: ​ 30 points (only for on-campus students) 
- 
-  (10 points): The poster was well presented by the team 
-  (10 points): The poster succinctly and clearly explains what you did 
-  (10 points): The poster was well laid out and makes good use of visual aids 
- 
-====================================================================== 
-Written Report: ​ 60 points (90 points for distance-learning students) 
- 
-  (10 points): Good introduction and motivation for the project. 
-  (15 points): Clear description of what you did and how you did it. 
-  (15 points): Results are clearly presented and discussed in depth. 
-  ( 5 points): Spelling, grammar, organization. 
-  (10 points): Project is sufficiently challenging. 
- 
-</​code>​ 
projects.txt ยท Last modified: 2016/09/01 09:29 (external edit)