Machine Learning

Dear all,

We have now made public the graded of the re-exam, and thus the final grades, as well. 

Please remember that the inspection will take place next Monday 14th of October at 3pm at  Lecture hall 002 in E1 3. Please come to the inspection before 4.30pm and bring your student ID.

Also be informed that unfortunately we unable offer alternative slots for those that can't make it.

Best regards,

Prof. Isabel Valera 

 

 

 

Dear ML Students,

Please disregard this message if you have already registered for the ML Re-Exams or do not intend to take them.

For all other students, please ensure that you complete the re-exam registrations via LSF/HISPOS by the end of today, September 23rd. If you encounter any issues with registering through LSF/HISPOS, please send an email (including your full name, study program, and matriculation number) to nweis@cs.uni-saarland.de before the end of today, September 23rd, and we will manually register you.

No additional CMS registration is required for the re-exam.

Date of Re-exams: 30th September 2024

Time: 14:00 

Venue: GHH and L002 in E1.3

We look forward to seeing you on Monday and wish you all the best.

Regards,

ML Team

Dear ML students,

Your course grades have now been uploaded to LSF. You can now register for the re-exam, which is scheduled for 30th September at 14:00. Please complete your registration via LSF/HISPOS by September 23rd. If you encounter any issues with registering through LSF/HISPOS, kindly send an email (including your full name, study program, and matriculation number) to nweis@cs.uni-saarland.de before September 23rd, and we will manually register you.

No additional CMS registration is required for the re-exam.

 

Best regards,

ML Team

Dear ML Students,

We have uploaded your grades for both the exam and project reports, as well as the resulting overall course grade, which includes any bonus points received from the project challenge.

On your personal status page, under "Tests and Exams", you will find the following in this order:

• Overall grade of the main exam
• Points and grades for each problem in the main exam
• The grade for the project report
• Project challenge bonus: If it says "+0.3", you have received the bonus; if it says "unknown", you have not.
• Additionally, you can view the final project leaderboard ranking on the same page.

Under "Gradings", you will see your final resulting grade for the course.

The re-exam will be held on September 30th at 14:00. More details will be shared soon.

Kind Regards,

ML Team

 

Dear students,

this is to inform you that the project deadline has been extended to Friday at 23:59, as a problem with the leader board was detected recently. We will keep updating the leaderboard until the deadline. 

Remember that you need to upload your report PDF AND your challenge predictions before then. We will not accept any late submissions. Make sure to upload your challenge predictions (for the test_private.csv data) to the correct submission ("Healthcare predictions CHALLENGE") and make sure to name the files correctly, as is explained in the notebook.

Best,

ML Team

Dear students,

we have carefully considered all of your remarks and have adjusted some points where appropriate. The grades in CMS are now updated.

Once we have corrected your project reports, your final grade will be uploaded to LSF. It will then also be possible to register for the re-exam. We will keep you informed.

The re-exam will take place on September 30th, 2pm - 5pm. More details will be published soon.

 

Best,

ML Team

Dear ML students,

we have just released the private test data used for the project challenge, find it in the Materials section.

Your predictions on this data will be used to rank your classifiers and predictors shortly after the final deadline (19.08., 23:59) and thus to decide which teams get the bonus. Upload your predictions as a zip to the new submission "Healthcare predictions CHALLENGE" with the correct naming of the files (check the notebook for details). Note that you will not get information about your performance on this data until after the final deadline (hence it is called the private test data).

We will continue to update the leaderboard until the final deadline, of course, still with the public test data as before. To update your predictions for the leaderboard, upload them to the same old submission, i.e. "Healthcare project predictions (for leaderboard)".

Inspection reminder:

As previously announced, the inspection of the main exam will take place on Tuesday, the 13th of August, 09:30-12:00, at the GHH.

Grades of the main exam will be released soon.

 

Best regards,
ML Team

Dear all,

Please find below the instructions for the ML exam, that will take place next Monday, 5th of August, at 2pm at the Günter-Hotz Lecture hall (GHH). Please be on time!

Instructions:

1. Only students registered for the exam (according to CMS ML Exam registration) are eligible to participate in the exam.
2.  To be able to hand-in your exam, bring over your student card (or personal ID with picture) to identify yourself. You will need your matriculation number.
3. You are allowed to write your solutions and derivations on paper using a black or blue pen.
4. ML exam is an open-book exam. You are allowed to consult materials in printed form, e.g., books, slides, and your own notes while writing the exam. Digital materials are not allowed.
5. The use of phones, tables, laptop or any device with WiFi or phone connection is not allowed. You can bring over and use a calculator.
6. You are not allowed to consult others. Plagiarism is not condoned. If plagiarism is detected, then your case will be transferred to the corresponding examination office and evaluate under the regulations of the University.

Best regards,

ML team

 

[Edit] The e-mail to write to in case you cannot register by LSF/HISPOS has changed. If you wrote an e-mail to Natalia already, please send another one to the new one.

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Dear ML students,

The ML exam is approaching, as it will take place on August 5th at 14:00 in the GHH. Please be there a little bit earlier, to allow for a smooth beginning.

In order to take the exam, you MUST register via LSF/HISPOS by July 29th (i.e., one week before the exam date). In case that registration via LSF/HISPOS is not possible for you (and only in that case), please send an email (with your full name, study program and matriculation number) to s8jokles@stud.uni-saarland.de before July 29th, so that we can register you manually.

No additional CMS registration is required for the exam.

 

The exam inspection will be on 13th of August, 09:30-12:30. We will post another news after results have been released to remind you of this.

 

Best regards,

ML Team

 

 

Dear all,

As several of you noticed, the links of the lecture recordings for lectures 1-8 had expired. We have now made them available again under the following link expiring (due to University policies) on August 9, 2024. I will the create a new link for the re-exam preparation.

Our apologies for the inconveniences and best regards,

Isabel Valera

 

 

Dear all,

It is time  for you to evaluate us. So if you are attending the lectures and tutorials, please share your (constructive) opinion about the course by July 17th. 

To evaluate the lecture please use this link: https://qualis.uni-saarland.de/eva/?l=1494721&p=hqwkyj

To evaluate the tutorials please use this link: https://qualis.uni-saarland.de/eva/?l=1494722&p=qlbsno

Many thanks for your support to further improve the course,

Prof. Isabel Valera

 

 

Dear ML students,

In today's lecture, the project was presented. The lecture was recorded, and you can find the recording here (passcode: CP^wu1^W).

Find the most important information also in this news:

- Participation is voluntary, but highly encouraged!
- You can find the project files on the materials page. Each file has a useful description. Start with reading the project instructions.
- The project is done in teams of at most 3 people.
    - To find a team, chat up your peers, or use the forum, where we have created a category especially for finding team members.
    - To create or join a team, check your 'Personal Status' page in CMS
- The final deadline for the project is 19.08.2024. You have to upload your report and your final predictions until then.

Have fun working on the project! :-)
 

Best,
ML Team

Dear ML students,

due to the cancellation of yesterdays lecture, we have now slightly adjusted the schedule.

The lecture planned for yesterday will be given on Thursday, and the lecture planned for Thursday will be held on the 23rd of May, replacing the Q&A session. We will have another Q&A session at the end of the lecture period. Beyond that, you are always welcome to ask any and all questions, e.g. in the help tutorials or in the forum.

 

Best,

ML Team

Dear all,

The Introductory lecture to ML core course will be happening TODAY at noon. You can join the lecture either in person (preferred option) or via Zoom. 

In addition, due to several requests, the lectures will be recorded and shared with the students via CMS!

See you soon,

Prof. Isabel Valera

 

Dear ML students,

welcome to this year's iteration of the ML core lecture! We have just uploaded a tentative schedule, the exam dates, the tutorial timeslots, as well as some materials with which you may refresh your prerequisite knowledge for the course.

The first lecture will be on April 18th and cover course logistics and an introduction to the topic. 

 

Best,
ML Team