Repository of resource materials for CSE-411 course in Summer-2019 trimester at MIU
- [18/06/2019]: Due to unavoidable circumstances there will be no class of this course in 19/06/2019 😢
Mid-term Exam Syllabus: Bayes Theorem (Only bayes theorem), Random Variable, Bernoulli, Normal, Naive-Bayes, Parameter Learning (Only MLE), Logistic Regression
Note: You can skip any topic mentioned above notes which haven't been discussed in the class. - [26/06/2019]: Mid-term questions with the solution of the problem set have been uploaded. See the exam folder.
- [30/06/2019]: Lab Project instructions of this course has been published. see the assignment folder
- [10/07/2019]: Assignment milestone submission date has been deferred. Final date of submission: 12/07/2019 11:59 PM
- [17/07/2019]: Final Team list for the contest. Our Leaderboard
- [18/07/2019]: Mid-term mark distribution has been uploaded. Mark Distribution plot
- [18/07/2019]: Baseline code for the project has been uploaded. instructions
- [25/07/2019]: First Class Test will be held on 29/07/2019. Syllabus: Neural Network (Section 5.4 of the book )
- [29/07/2019]: First Class Test for male section will be held on 31/07/2019. Syllabus: Neural Network (Section 5.4 of the book )
- [30/07/2019]: Due to unavoidable circumstances there will be no class of this course in 31/07/2019. Class Test for male section will be held on 05/08/2019.
- [03/08/2019]: Government training opportunities: Circular
- [03/08/2019]: Extra class for male section will be held at 9:00am-12:00pm in 05/08/2019. Room: 207
- [10/08/2019]: Combined class will be held at 9:00am-11:00am in 19/08/2019. Room: 207
- [10/08/2019]: Lab Quiz will be at 11:15am-11:45am in 19/08/2019 (both section combined). Syllabus: based on lab assignment, and Theory
- [10/08/2019]: Contest Report presentation will be held at class 20/08/2019 (for Female section) and 21/08/2019 (for Male section). Report should be submitted here atleast 5 hour before the class. A printed copy of the report should also be submitted before presentation. Project Instructions
- [17/08/2019]: Final Exam Syllabus: Neural Network (Section 5.4), SVM (Section 5.5 - 5.5.2), Ensemble Methods (Section 5.6 - 5.6.4), Class Imbalance (Section 5.7 - 5.7.3), Cluster Analysis (Section 8.1 - 8.2.2) of the Book