Machine Learning Prof. Dr. Isabel Valera Summer Semester 2021

News

21.09.2021

Re-Exam Instructions

Dear ML students,

The instructions for the ML re-exam have been finalized. You can find them here: https://cms.sic.saarland/ml/4/Exam_Instructions. Please read them carefully before the re-exam.

Note especially that while you do not need to register in the... Read more

Dear ML students,

The instructions for the ML re-exam have been finalized. You can find them here: https://cms.sic.saarland/ml/4/Exam_Instructions. Please read them carefully before the re-exam.

Note especially that while you do not need to register in the CMS, *you need to register in the LSF*. In case that is not possible, write us an e-mail before the registration deadline, which is one week before the exam.

In addition, we have again created a trial submission, such that you can solve possible technical difficulties beforehand: https://cms.sic.saarland/ml/submissions
The trial submission will be open until the day before the exam.

Best regards,
Prof. Isabel Valera

17.09.2021

Re-exam registration!

Dear all,

The ML re-exam will take place on October 5th at 2pm in an online manner. More information coming up soon (but same structure as for the previous exam).

In order to be able to take part in the Re-exam, please register via LSF/HISPOS by September... Read more

Dear all,

The ML re-exam will take place on October 5th at 2pm in an online manner. More information coming up soon (but same structure as for the previous exam).

In order to be able to take part in the Re-exam, please register via LSF/HISPOS by September 28th. In case that registration via LSF/HISPOS is not possible for you, please send us an email (with your full name, study program and matriculation number) to ml-course-team@lists.saarland-informatics-campus.de before September 28th, so that we can register you manually.

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

Best regards,

Isabel Valera

15.09.2021

Complete code for the CNN and RNN notebooks

Dear ML students,

We have uploaded to the CMS the complete code for the CNN and RNN notebooks. You can find them in the Materials tab --> Block VI under the names

 

Block VI - CNN - Notebook (Complete)

Block VI - RNN - Notebook (Complete)

 

Best... Read more

Dear ML students,

We have uploaded to the CMS the complete code for the CNN and RNN notebooks. You can find them in the Materials tab --> Block VI under the names

 

Block VI - CNN - Notebook (Complete)

Block VI - RNN - Notebook (Complete)

 

Best regards,

ML Team

16.08.2021

CMS points updated after inspection

Dear students,

we would like to inform you that after completing the inspection we have updated the CMS. If we saw a valid reason for changes, your updated points and possibly resulting grade changes are now visible.

Regards,

the ML team

11.08.2021

Details on exam inspection - Aug 12th (tomorrow) and Aug 13th

Dear students,

We wold like to inform you about the inspection procedure.

We offer an online exam inspection in which clarifications regarding your scores can be requested. The inspection is not meant for, and we will not share the template solutions. The... Read more

Dear students,

We wold like to inform you about the inspection procedure.

We offer an online exam inspection in which clarifications regarding your scores can be requested. The inspection is not meant for, and we will not share the template solutions. The inspection will be held over two days with each a morning and an afternoon session. Each time slot is allocated to one single problem of the exam and only questions to this problem will be addressed.

Please find the link to the Zoom meetings below. Once you join the meeting, you will be added to the (virtual) waiting room. We will consider students on a first-come-first-serve basis. We will admit students to the waiting room for the first two hours of the respective session after which we will lock the meeting, and continue until all the students had their turn. When you join the inspection, please enable your video and have your student ID-card ready. Additionally make sure that you have the digital copy of your exam ready such that you can screen-share it with us.

Please use the following Zoom links to join the inspection:

Thursday, August 12th 2021 from 8.00-12.00h - Inspection Problem 3 - join before 10.00h:

https://cs-uni-saarland-de.zoom.us/j/93693232356?pwd=dEt3ZDZHMDd3cS9PeGs0VlBIekRFdz09

Thursday, August 12th 2021 from 13.00-17:00h - Inspection Problem 1 - join before 15.00h:

https://cs-uni-saarland-de.zoom.us/j/92713176110

Friday, August 13th 2021 from 8.00-12.00h - Inspection Problem 4 - join before 10.00h:

https://cs-uni-saarland-de.zoom.us/j/92227599562?pwd=RmRkQ0ZmMUVXNkQ2Yy83VVE2bkFyQT09

Friday, August 13th 2021 from 14:00-18:00h - Inspection Problem 2 - join before 16.00h:

https://cs-uni-saarland-de.zoom.us/j/96557372308?pwd=aDV1dVJnNk95YmpIL0lrdmVHQUlaZz09

 

Best regards,

the ML team

10.08.2021

Main exam grades released & Inspection times

Dear students,

We would like to inform you that the grades for the ML main exam have been released on CMS. Please let us know if you are unable to see your grade.

Further, we would like to inform you about the inspection dates and times. Further information on... Read more

Dear students,

We would like to inform you that the grades for the ML main exam have been released on CMS. Please let us know if you are unable to see your grade.

Further, we would like to inform you about the inspection dates and times. Further information on the inspection procedure will follow.

Thursday, August 12th 2021 from 8.00-12.00h - Inspection Problem 3
Thursday, August 12th 2021 from 13.00-17:00h - Inspection Problem 1
Friday, August 13th 2021 from 8.00-12:00h - Inspection Problem 4
Friday, August 13th 2021 from 14:00-18:00h - Inspection Problem 2


Regards,

the ML team

29.07.2021

Exam instructions and submission trial

Dear ML students,

The list of students that can participate in the exam of next Tuesday 3rd of August is now finalized. 

You can now find the instructions for the exam here: https://cms.sic.saarland/ml/4/Exam_Instructions. Please read them carefully before the... Read more

Dear ML students,

The list of students that can participate in the exam of next Tuesday 3rd of August is now finalized. 

You can now find the instructions for the exam here: https://cms.sic.saarland/ml/4/Exam_Instructions. Please read them carefully before the exam.

In addition, we have created a submission trial only available for those students that are registered for the exam:  https://cms.sic.saarland/ml/submissions 

Such submission trial will be open until Monday so that you can check i) that your are properly registered for the exam, and ii) get familiar with the CMS submission portal in case you never used it before. 

In case you have registered for the exam but the submission portal is not yet open for you, please contact us as soon as possible via: ml-course-team@lists.saarland-informatics-campus.de

Best regards,

Prof. Isabel Valera

 

29.07.2021

Exam instructions and submission trial

Dear ML students,

The list of students that can participate in the exam of next Tuesday 3rd of August is now finalized. 

You can now find the instructions for the exam here: https://cms.sic.saarland/ml/4/Exam_Instructions. Please read them carefully before the... Read more

Dear ML students,

The list of students that can participate in the exam of next Tuesday 3rd of August is now finalized. 

You can now find the instructions for the exam here: https://cms.sic.saarland/ml/4/Exam_Instructions. Please read them carefully before the exam.

In addition, we have created a submission trial only available for those students that are registered for the exam:  https://cms.sic.saarland/ml/submissions 

Such submission trial will be open until Monday so that you can check i) that your are properly registered for the exam, and ii) get familiar with the CMS submission portal in case you never used it before. 

In case you have registered for the exam but the submission portal is not yet open for you, please contact us as soon as possible via: ml-course-team@lists.saarland-informatics-campus.de

Best regards,

Prof. Isabel Valera

 

22.07.2021

Exercise sources

Dear all,

As agreed the source of the exercises of Blocks I and II are now available on the material webpage (https://cms.sic.saarland/ml/materials/index#) next to the link to download the sheets.

Cheers,

Isabel Valera

19.07.2021

New version of Bias-Variance derivation in the slides of Lecture 05&06

Dear all,

I believe some of you have encountered problems with the Bias-variance derivation in lectures L05-06. I have tried now to clarify the notations between slides 19 and 21. I hope the new version is easier to parse. Otherwise, please do not be afraid of... Read more

Dear all,

I believe some of you have encountered problems with the Bias-variance derivation in lectures L05-06. I have tried now to clarify the notations between slides 19 and 21. I hope the new version is easier to parse. Otherwise, please do not be afraid of asking via discord or at class on Wednesday.

Thanks,

Isabel Valera

19.07.2021

Support for exam preparation

Dear ML students,

We have now prepared a script with a summary of the main contents that are relevant for the exam preparation. In addition, we also provide example of the concepts that may be asked in the exam.

The script is available here:... Read more

Dear ML students,

We have now prepared a script with a summary of the main contents that are relevant for the exam preparation. In addition, we also provide example of the concepts that may be asked in the exam.

The script is available here: https://cms.sic.saarland/ml/dl/73/Exam_question_examples.pdf

This Wednesday 21st of July, in the last lecture of the semester, I will be available to answer any question you may have regarding the exam. So please join the live session in Zoom and come ready to ask all your questions.

Best regards,

Isabel Valera

 

 

 

 

17.05.2021

Reminder: Exam date - August 3rd at 2pm (Register by July 27th!!)

Dear all,

the exam of the ML course will take place on August 3rd at 2pm (CET) and will be online and written.

You will need to register for the exam before the July 27th via HISPOS/LFS. If you are not able to register for the exam in HISPOS/LSF, please send... Read more

Dear all,

the exam of the ML course will take place on August 3rd at 2pm (CET) and will be online and written.

You will need to register for the exam before the July 27th via HISPOS/LFS. If you are not able to register for the exam in HISPOS/LSF, please send us an email with your full name, matriculation number and study program to: ml-course-team@lists.saarland-informatics-campus.de

Cheers,

Prof. Valera

 

Show all
 

Machine Learning

In this course we will introduce the foundations of machine learning (ML). In particular, we will focus on understanding the theoretical aspects of ML that have made ML successful in a wide range of applications such as bioinformatics, computer vision, information retrieval, computer linguistics, robotics, etc.

The course gives a broad introduction into machine learning methods. After the lecture the students should be able to solve and analyze learning problems. The lecture is based on the previous machine learning courses offered by  Matthias Hein and Peter Ochs.

The tentative list of topics cover:

  • Probability theory
  • Maximum Likelihood/Maximum A Posteriori Estimators
  • Bayesian decision theory
  • Linear classification and regression
  • Model selection and evaluation
  • Convex Optimization
  • Kernel methods
  • Societal Impact of Machine Learning
  • Unsupervised learning (Clustering, Dimensionality Reduction)
  • Introduction to Deep Learning

Prerequisites: The course is targeted to students in computer science, bioinformatics, math, and related areas with a mathematical background. Students should know linear algebra and have good basic knowledge of statistics, for example by having taken Mathematics for Computer Scientists I and II (for linear algebra) and Statistics Lab or Mathematics for Computer Scientists III (for statistics). In addition, prior attendance to machine learning related courses, e.g., Elements of Machine Learning, is considered as additional useful background.

Contact

We have prepared a Discord channel for you to discuss your questions and find study groups during the course: https://discord.gg/C8HBUx58rX

Please before reaching us out, check that the information is not available in the course description provided here and check with your peers via discord. We will also keep track of the Discord channel and will do our best to answer your questions.

For private/personal questions, please send us an email to: ml-course-team@lists.saarland-informatics-campus.de

Organizational Information

Lectures will start on April 19th! (one week after semester starts).

In the lectures we will cover the main theoretical aspects of the course, and in the Tutorials we will guide students through the resolution of exercises. There with be both theoretical and coding exercises. The main programming language used in the course will be Python (and PyTorch). Exercises are thought to help students preparing for the exam but there won't be assignments for the students to hand-in. Details on the tentative planning of the course.

Lectures*:  Mondays 14:15h & Wednesdays at 16:15h (on Zoom)

Tutorials*: (Tentatively) Thursdays at 12:15h (on Zoom)

Lectures and tutorials will be recorded and made available in Youtube. For further details on how to access the lectures please read carefully the following link.

Privacy disclaimer: We have decided to use zoom for both lectures and tutorials, as it provides superior functionality and usability for lecturing, including seamless live interaction and smooth integration of a whiteboard. We thus encourage you to  join the Zoom with your real name, your camera on,  and ask questions verbally. However, this is of course voluntary. If you are concerned about privacy, we encourage you to enter the zoom meeting under a nickname or pseudonym, and use only the textual chat for communication.

Evaluation

The course will be evaluated in a final exam (which will most likely take place in written form). There won't be intermediate evaluation or admission to the exam. However, over the semester, we will use the tutorials to jointly solve exercises in order to support students to prepare for the exam.

Exam and re-exam will take place in an online manner (most likely) and will take place, respectively on August 3rd from  2 p.m. - 5 p.m (registration deadline July 27th) and October 5th also from 2 p.m. - 5 p.m. (registration deadline September 28th).

If you are not able to register for the exam in HISPOS/LSF, please send us an email with your full name, matriculation number and study program to: ml-course-team@lists.saarland-informatics-campus.de

Bibliography

[Bishop] Bishop, C. M. Pattern recognition and machine learning. Springer, 2006

[DHS] Duda, R. O., Hart, P. E., and Stork, D. G. Pattern classification (2nd edition). Wiley-Interscience. 2000

[Boyd]   Boyd, S., Boyd, S. P., and Vandenberghe, L. . Convex optimization. Cambridge university press, 2004

[eML]    Hastie, T., Tibshirani, R., and Friedman, J. The Elements of Statistical Learning. Springer, 2009.

[Kernels] Smola, A. J.,  & Schölkopf, B. Learning with kernels. GMD-Forschungszentrum Informationstechnik, 1998.

[DL]      Goodfellow, I., Courville, A., and Bengio, Y. Deep learning. MIT press, 2016.

 

 

 



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