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Re-exam Result Updated

Written on 11.11.22 by Dingfan Chen

The re-exam result has been updated in CMS.

In case you have any further inquiries about grades, please contact dingfan.chen@cispa.de as soon as possible.

Re-exam Inspection (Update)

Written on 07.11.22 by Dingfan Chen

The location of the re-exam inspection will be:

- November 8 (2 pm to 4 pm): E9 1 (CISPA), room 0.05 (lecture hall ground floor).

- November 11 (10 am to noon): E9 1 (CISPA), room 3.21 (third floor).

Note:

- Please wear a mask (due to the Hygieneplan)

- You need to register for a… Read more

The location of the re-exam inspection will be:

- November 8 (2 pm to 4 pm): E9 1 (CISPA), room 0.05 (lecture hall ground floor).

- November 11 (10 am to noon): E9 1 (CISPA), room 3.21 (third floor).

Note:

- Please wear a mask (due to the Hygieneplan)

- You need to register for a slot in CMS and be on time for the slot

- You need to bring your student ID to the exam inspection

- You are not allowed to take pictures/notes during the inspection

In case it is not possible for you to attend the exam inspection for both dates but you still want to inspect your exam, please send an email (with your name, student id, and your availability for an appointment) to dingfan.chen@cispa.de.

Re-exam Inspection (registration in CMS required)

Written on 06.11.22 by Dingfan Chen

The inspection of the re-exam will take place on November 8 (2 pm to 4 pm) and November 11 (10 am to noon). You can now register for a slot for inspection in CMS.

Location: To be determined

Note:

- You need to register for a slot in CMS and be on time for the slot

- You need to bring your… Read more

The inspection of the re-exam will take place on November 8 (2 pm to 4 pm) and November 11 (10 am to noon). You can now register for a slot for inspection in CMS.

Location: To be determined

Note:

- You need to register for a slot in CMS and be on time for the slot

- You need to bring your student ID to the exam inspection

- You are not allowed to take pictures during the inspection

Re-exam Result Available

Written on 06.11.22 by Dingfan Chen

The result of the re-exam is available in CMS.

Re-exam Announcement

Written on 17.10.22 by Dingfan Chen

The re-exam will happen on October 19th (10 am - 12 pm).

Please check the room assignment plan available on the main page.

Remember that you need to bring your student id to the exam.

Exam Inspection (registration in CMS required)

Written on 30.08.22 by Dingfan Chen

You can now register for a slot for inspection on Sep 2 (9 am to noon) in CMS.

Location: E9 1 (CISPA), room 0.05 (lecture hall ground floor).

Note:

- You need to register for a slot in CMS and be on time for the slot

- You need to bring your student ID to the exam inspection

- You… Read more

You can now register for a slot for inspection on Sep 2 (9 am to noon) in CMS.

Location: E9 1 (CISPA), room 0.05 (lecture hall ground floor).

Note:

- You need to register for a slot in CMS and be on time for the slot

- You need to bring your student ID to the exam inspection

- You are not allowed to take pictures/notes during the inspection

In case it is not possible for you to attend the exam inspection on Sep 2 but you still want to inspect your exam, please send an email (with your name, student id, and your availability for an appointment) to dingfan.chen@cispa.de.

Exam Inspection (registration in CMS required)

Written on 26.08.22 by Dingfan Chen

The inspection of the first exam will take place on August 29 (1 pm to 4 pm) and September 2 (9 am to noon). You can now register for a slot for inspection on August 29 in CMS.

Location: E9 1 (CISPA), room 0.05 (lecture hall ground floor).

Note:

- You need to register for a slot in CMS and… Read more

The inspection of the first exam will take place on August 29 (1 pm to 4 pm) and September 2 (9 am to noon). You can now register for a slot for inspection on August 29 in CMS.

Location: E9 1 (CISPA), room 0.05 (lecture hall ground floor).

Note:

- You need to register for a slot in CMS and be on time for the slot

- You need to bring your student ID to the exam inspection

- You are not allowed to take pictures during the inspection

Exam Result Available

Written on 26.08.22 by Dingfan Chen

The result of the first exam is now available in CMS.

Reminder: Student ID

Written on 01.08.22 by Mario Fritz

This is a reminder that you need to bring your student id to the exam.

Exam Room Assignment

Written on 28.07.22 by Dingfan Chen

The room assignment plan for the written exam on August 1st is now available on the main page.

Exam Registration

Written on 22.07.22 by Mario Fritz

This is a reminder that the time period for exam registration/de-registration ends on 25th July 2022.

Programming Exercise Tutorial 6 (Online only)

Written on 14.07.22 by Tejumade Afonja

Dear all,

Please be reminded that today's tutorial will happen online. You can find the notebook in the materials section (https://cms.cispa.saarland/ml22/materials/)

Cheers,

ML22 Team

Tutorial Sheet 7

Written on 07.07.22 by Dingfan Chen

Dear all,

Please be reminded that today's tutorial will be on-site + virtual. You can find the sample solution and (an updated version of) exercise sheet 7 (Unsupervised Learning, Deep Learning) at https://cms.cispa.saarland/ml22/materials/.

Cheers,

ML team

Lecture on July 6th starts at 4:30pm

Written on 05.07.22 by Mario Fritz

Lecture on July 6th starts at 4:30pm

Exercise Sheet 7

Written on 04.07.22 by Dingfan Chen

Dear all,

You can find exercise sheet 7 (Unsupervised Learning, Deep Learning) at https://cms.cispa.saarland/ml22/materials/. Please attempt to solve the theoretical exercises and we will solve them together in class on Thursday.

Cheers,
ML22 Team

Programming Exercise Tutorial 5 (Online only)

Written on 29.06.22 by Tejumade Afonja

Dear all,

Please be reminded that tomorrow's tutorial will happen online. You can find the notebook in the materials section (https://cms.cispa.saarland/ml22/materials/)

Cheers,

ML22 Team

Course Evaluation (27.06. – 14.07.2022)

Written on 27.06.22 by Mario Fritz

Links to course evaluation are now available at our internal page.
Please provide your feedback in the following time period: 27.06. – 14.07.2022

Exercise Sheet 6

Written on 19.06.22 by Stratis Tsirtsis

Dear all,

You can find exercise sheet 6 (on kernel methods) at https://cms.cispa.saarland/ml22/materials/. Please attempt to solve the theoretical exercises and we will solve them together in class on Thursday.

Cheers,
ML22 Team

3 Guest Lectures

Written on 18.06.22 by Mario Fritz

Don't miss our 3 upcoming guest lectures by Jilles Vreeken and Sebastian Stich. Both are faculty at CISPA, too.

We will start with two lectures by Jilles Vreeken:

2022 06 20 Subgroup Discovery
2022 06 22 Causality

Programming Exercise Tutorial 4 (Online only)

Written on 08.06.22 by Tejumade Afonja

Dear all,

Please be reminded that tomorrow's tutorial will happen online. You can find the notebook in the materials section (https://cms.cispa.saarland/ml22/materials/)

Cheers,

ML22 Team

Reminder: Online-only lecture on June 8th

Written on 07.06.22 by Mario Fritz

This is a reminder that we will have an online-only lecture on June 8th. Video recording will be available as usual.

Exercise sheet 5 (No tutorial on Thursday, recording only)

Written on 29.05.22 by Dingfan Chen

Dear all,

You can find exercise sheet 5 (convex optimization) at https://cms.cispa.saarland/ml22/materials/. Please attempt to solve the theoretical exercises before Thursday. A video recording of the sample solution will be uploaded and there will be no tutorial on Thursday. Please use the Forum(… Read more

Dear all,

Cheers,
ML22 Team

No Lecture on May 18th

Written on 17.05.22 by Mario Fritz

There will be no lecture on May 18th.

I apologize for the late notice.

Programming Tutorial Notebooks

Written on 14.05.22 by Tejumade Afonja

Dear all,

You can find programming tutorial notebooks for Linear Classification and SVM at https://cms.cispa.saarland/ml22/materials/. Attempt to answer the todos, we will go over the solution on Thursday.

Cheers,
ML22 Team

Exercise Sheet 4

Written on 09.05.22 by Stratis Tsirtsis

Dear all,

You can find exercise sheet 4 (on linear regression and linear classification) at https://cms.cispa.saarland/ml22/materials/. Please attempt to solve the theoretical exercises and we will solve them together in class on Thursday.

Cheers,
ML22 Team

Exercise Sheet 4 to be released on Monday

Written on 06.05.22 by Tejumade Afonja

Dear all,

Theoretical exercise sheet 4 (and programming notebook 3) will focus on Linear Classification and they will be released on Monday. Thursday tutorial is theoretical only and the programming notebook will be reviewed in the coming week.

You can find video recordings for previous… Read more

Dear all,

You can find video recordings for previous tutorials and solution sheets on cms.

Cheers,

ML22 Team

Exercise sheet 3

Written on 02.05.22 by Dingfan Chen

Dear all,

You can find theoretical exercise sheet 3 (Linear regression) on https://cms.cispa.saarland/ml22/materials/. Please attempt to solve the exercises and we will solve them together in class on Thursday.

Cheers,
ML22 Team

Reminder: No lecture Monday May 2nd

Written on 02.05.22 by Mario Fritz

This is a reminder that there is no lecture on Monday May 2nd.

Programming Exercise Notebook 2

Written on 29.04.22 by Tejumade Afonja

Dear all,

You can find the jupyter notebook for the programming exercise tutorial 2 on https://cms.cispa.saarland/ml22/materials/index.

Cheers,

ML22 Team

Exercise sheet 1 (Solution) and Video link online

Written on 26.04.22 by Dingfan Chen

Dear all,

You can find the video link of the tutorial and the sample solution for exercise sheet 1 on https://cms.cispa.saarland/ml22/materials/index.

Cheers,

ML22 Team

Lecture 3 video available

Written on 26.04.22 by Mario Fritz

Video of lecture 3 on Bayesian Decision Theory is online.

Lecture 3 slides are up - start at 5pm

Written on 24.04.22 by Mario Fritz

Slides are available at https://dl.cispa.de/s/sW888NXEPCaLXR7

Please recall that the lecture this time starts at 5pm.

Programming Exercise 1 Video Link

Written on 24.04.22 by Tejumade Afonja

Dear all,

You can find the video link for programming exercise tutorial 1 on https://cms.cispa.saarland/ml22/materials/index and a revision of the Tutorial Notebook 1.

Cheers,

ML22 Team

Exercise Sheet 2

Written on 22.04.22 by Stratis Tsirtsis

Dear all,

You can find exercise sheet 2 on https://cms.cispa.saarland/ml22/materials/. Please attempt to solve the theoretical exercises and we will solve them together in class on Thursday.

Cheers,
ML22 Team

Updated slides for lecture 2 and video posted

Written on 20.04.22 by Mario Fritz

https://cms.cispa.saarland/ml22/2/Machine_Learning_page_for_registered_students

Lecture 2 material available - lecture online only

Written on 20.04.22 by Mario Fritz

Slides for lecture 2 are available online. Please note that - as announced - the lecture on April 20th will be online only (zoom + video recording).

Exercise Sheet 1 and Notebook

Written on 19.04.22 by Tejumade Afonja

Dear all,

You can find exercise sheet 1 and coding notebook on https://cms.cispa.saarland/ml22/materials/. Please familiarize yourselves with the notebook and attempt to solve the theoretical exercise sheets. We will go over the notebook and solve the theoretical exercise sheet in class on… Read more

Dear all,

Cheers,

ML22 Team

Additional recap/study/lookup material online

Written on 14.04.22 (last change on 14.04.22) by Mario Fritz

https://cms.cispa.saarland/ml22/4/Prerequisites_Study_Material

Show all

Machine Learning

Lecturer: Prof. Dr. Mario Fritz

Please register on this CMS site for this course, so that we can be in contact. Course information (schedule, material, ...) is available to registered students at the following page as well as the university LSF entry.

Content

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, Peter Ochs, Isabel Valera.

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: 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, eg, Elements of Machine Learning, is considered as an additional useful background.

Organizational Information

Lectures will start on Wednesday, April 13th!

Lectures :

Mondays 4pm-6pm E2 5: Lecture Hall 1
Wednesdays 4pm-6pm E2 2: Lecture Hall Günter-Hotz

Tutorials: Thursdays 4pm-6pm HS 003 Geb. E 1.3

Exam Dates

(dates and time windows - exact time t.b.a.)

August 1st -- time window 2pm - 5pm
October 19th -- time window 9am - 1pm

FAQs

1. Will the lecture be delivered in English or is it in German?
  The lecture will be delivered in English
2. Will the course be organized in-person or hybrid (via Zoom)?
It will be a hybrid format.
3. Can the students solve assignments in groups or is it strictly limited to a single person?
  The exercise sheets will be ungraded, and not compulsory to turn in, so you're welcome to solve them in groups or as an individual.
4. Will the lecture be recorded?
   Yes, videos of lectures will be available for download.
5. Are the assignments compulsory in order to take part in the exams?
No.