Description
Instructor Webpage: http://faculty.pieas.edu.pk/fayyaz/index.html
Objectives;
This course is aimed at developing an in depth understanding of applying and developing machine learning systems for MPhil and PhD Computer Science students.
Aims:
At the completion of this course, students should be able to:
1. Apply machine learning to real-world problems
2. To develop experimental design for assessing the performance and hypotheses in a machine learning system
3. To understand concepts and theory of machine learning
4. Implement machine learning systems in Python
Grading Policy:
Quizzes/Reading: 15%
Assignments: 20% (tentatively 5 Assignments): 1 review report and presentation. All other programming based and should not take more than 4 hours of effort in each.
Project: 10% evaluated using weekly progress and presentation, In groups of 2
Mid Term: 5% (to prep you for the final!)
Bonus Marks: Class Questions, Use of JULIA
http://julia.readthedocs.org/en/release-0.4/
Final Exam: 50% Including at least 10% of questions related to projects
Effort Required: Avg. 2 hours per 1 class hour
General Information
Announcements
Your sessional Scores!! Good work everybody! The breakdown of the grades is given below as well. If you have any questions and queries, please contact me in person before noon tomorrow. I will officially submit these grades tomorrow afternoon.
| Name | Total | 1A | 1B | 2A | 2B | 2C | Quiz 1.1 | Quiz 2.1 | Quiz 2.2 | Quiz 3.1 | Quiz 5.1 | Quiz 8.1 | Competition | Project | Sum | Bonus |
| Weight | 3 | 3 | 3 | 3 | 3 | 1.67 | 1.67 | 1.67 | 1.67 | 1.67 | 1.67 | 10 | 15 | |||
| Total | 50 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 50.02 | 0 |
| Amnah Nasim | 36 | 40 | 69 | 95 | 40 | 90 | 100 | 83 | 42 | 46 | 53 | 64 | 76 | 80 | 36.0996 | 0 |
| Aqsa Saeed Qureshi | 45 | 90 | 81 | 95 | 90 | 75 | 75 | 100 | 42 | 69 | 74 | 64 | 92 | 90 | 42.7108 | 2 |
| Farzeen | 48 | 90 | 92 | 95 | 90 | 85 | 75 | 83 | 58 | 77 | 63 | 79 | 100 | 95 | 45.0745 | 3 |
| Iqra chaudhary | 44 | 95 | 73 | 95 | 85 | 90 | 0 | 100 | 50 | 85 | 79 | 64 | 95 | 85 | 41.7026 | 2 |
| Mohsin Sattar | 45 | 100 | 85 | 95 | 92 | 90 | 50 | 83 | 58 | 85 | 58 | 71 | 96 | 85 | 42.9735 | 2 |
| Muhammad Islam | 45 | 90 | 96 | 95 | 87 | 75 | 75 | 83 | 67 | 92 | 90 | 43 | 80 | 85 | 41.555 | 3 |
| Naveed Chouhan | 41 | 100 | 100 | 95 | 10 | 80 | 0 | 83 | 67 | 100 | 79 | 86 | 76 | 85 | 38.8305 | 2 |
| Rao M. Umer | 40 | 0 | 62 | 95 | 90 | 80 | 0 | 83 | 42 | 77 | 74 | 71 | 88 | 100 | 39.4049 | 1 |
| Sajjad Jamil | 43 | 90 | 73 | 90 | 85 | 85 | 50 | 83 | 33 | 85 | 79 | 57 | 84 | 85 | 40.3029 | 3 |
The teaching staff has posted a new lecture notes resource.
Title: Recommender Systems
http://www.piazza.com/class_profile/get_resource/ij10b396m3315h/io1gjpl7br25x
Lecture date: May 10, 2016
You can view it on the course page: https://piazza.com/pieas.edu.pk/other/cis621/resources
Due to an official assignment, there will be no class tomorrow for CIS-621. Sorry for inconvenience. We will meet on Thursday, Inshallah.
Please see earlier Piazza posts.
-F
Please submit your projects as discussed in my earlier post by 0800HRS on Thursday 5 May, 2016.
Great Presentations every body! I hope it was a good learning experience for all of you. Please submit, in a zip file by uploading it to piazza in response to this post, a copy of your presentation, any associated documents and all your code together with a readme file explaining how to reconstruct your results and the data you have used. Please try to comment your code as best as you can so that your work can be extended further.
I will release the final results as soon as you submit your projects here. In an effort to promote transparency and openness, I would like everyone to submit their projects here (even those who have submitted their projects by email!).
You can download the lecture notes from the link below. Also be sure to read the excellent guide on how to use the SVM referenced below:
Title: Applied SVM Complete
http://www.piazza.com/class_profile/get_resource/ij10b396m3315h/inld9n9tuul3gf
Ben-Hur, Asa, and Jason Weston. 2010. “A User’s Guide to Support Vector Machines.” In Data Mining Techniques for the Life Sciences, edited by Oliviero Carugo and Frank Eisenhaber, 223–39. Methods in Molecular Biology 609. Humana Press. http://dx.doi.org/10.1007/978-1-60327-241-4_13
You can view it on the course page: https://piazza.com/pieas.edu.pk/other/cis621/resources
I have posted the schedule of your project presentations. If you have any issues, please report them to me before 10am. I will be in my office from 9.30-10am for this purpose. I hope you will be able to make good presentations.
Please be careful not to copy or plagiarise anything and cite all the references you may have used.
Thank you,
-Fayyaz
| Name | Office Hours | |
|---|---|---|
Dr. Fayyaz ul Amir Afsar Minhas | When? Where? |