Elements of Machine Learning

Kavya Gupta, Isabel Valera

News

Assignment 3 Graded & Reminders for Assignment 4 Deadlines

Written on 20.12.24 by Aiman Al-Azazi

Dear EML students,

The submissions for Assignment 3 have been graded, and the points along with feedback are now available in your personal status. For those who like perforemance comparisons, you might have noticed that we enabeled the result statistics.

If you have questions regarding your… Read more

Dear EML students,

The submissions for Assignment 3 have been graded, and the points along with feedback are now available in your personal status. For those who like perforemance comparisons, you might have noticed that we enabeled the result statistics.

If you have questions regarding your assignment feedback, please contact the tutor who graded it. The tutor’s initials or name can be found at the top of the feedback or as a PDF comment signature.

Additionally, we would like to remind you of the Assignment #4 deadlines:

  • Team-grouping: Thu. 02.01.2025, at 23:59
  • Submission:  Wed. 08.01.2025, at 23:59

Please make sure to follow all provided instructions, including those mentioned in this news as they apply to Assignment #4 and #5 as well.

We wish you all a wonderful holiday season and look forward to seeing you in the new year!

Best regards,
Your EML Team

Tutorial Agenda : 16 - 20th December

Written on 11.12.24 by Kavya Gupta

Dear Students, 

Here is the agenda of what will be discussed in the next week tutorial (16 - 20th December).
We will be discussing problems from Exercise Sheet #3 releasing on Thursday after the lecture. 

  • Exercise Sheet 3: Problems 1,2 and 3 (Dimensionality Reduction)

Also, Assignment… Read more

Dear Students, 

Here is the agenda of what will be discussed in the next week tutorial (16 - 20th December).
We will be discussing problems from Exercise Sheet #3 releasing on Thursday after the lecture. 

  • Exercise Sheet 3: Problems 1,2 and 3 (Dimensionality Reduction)

Also, Assignment #4 will be released this week. Go over the assignment and ask any questions you might have in the tutorials. 
Additionally, feel free to ask questions related to lectures or other topics during the tutorials.
Since this is the last tutorial before the Christmas break, we strongly encourage you to attend and make the most of this opportunity to clarify any doubts or questions.

Thank you!

Best, 
Prof. Isabel Valera and Dr. Kavya Gupta

Assignment #3 Deadline & Submission Guidelines

Written on 09.12.24 by Kavya Gupta

Dear Students, 

This is a gentle reminder that Assignment #3 is due on Wednesday at 23:59 hrs.

There will be no extensions or exceptions, so please ensure you submit on time and  it is in the correct format.

We wish to reiterate the instructions of the valid assignment submission:

1. If… Read more

Dear Students, 

This is a gentle reminder that Assignment #3 is due on Wednesday at 23:59 hrs.

There will be no extensions or exceptions, so please ensure you submit on time and  it is in the correct format.

We wish to reiterate the instructions of the valid assignment submission:

1. If you missed the team grouping deadline : You can still submit individually on CMS. This implies that you NEED to work individually. Identical assignment submission without a team on CMS will be considered plagiarism. Merely emailing a team member that you will be submitting as a team doesn't not suffice for a team submission. Kindly respect the deadlines that have been communicated.


2. Regarding valid programming solution : A valid submission includes both a PDF/HTML file AND the Jupyter Notebook (.ipynb) with your solutions. Both of these files should have your solutions present. Points will be deducted if either file is missing.  We ask for PDF/HTML with solutions to ensure readability and so that we can grade you easily. The responsibility of the readability of the submission i.e, we can see your solutions easily lies with the student.


3. Submissions must be made exclusively on CMS. Email submissions will not be accepted.

4. Be cautious about using tools like ChatGPT or other resources without proper citation. Uncited use will be treated as plagiarism. We have cases where students were not aware of their team member using ChatGPT for the assignments. Please be respectful to your team members and communicate and not jeopardize your team's grading. 

5. If even one question in your assignment is plagiarized, the entire assignment will receive a grade of zero.

Regarding the grading, if you have questions about your assignment feedback, please reach out to the tutor who graded it. The tutor’s initials can be found at the top of the feedback. If no initials are listed, please email Aiman for assistance.

There are still three more assignments remaining, giving you plenty of opportunities to improve your grades and qualify for the exam. Should you have any questions, feel free to email any member of our team.
Please be respectful in giving your feedback, suggestions and questions. 

All the best. 

Thank you for your understanding. 

Best, 
Prof. Isabel Valera and Dr. Kavya Gupta


 

 

 

 

Assignment 2 Graded & Important Notes for Assignment Submissions

Written on 06.12.24 by Isabel Valera

Dear all,

The submissions for Assignment 2 have now been graded. The points and the feedback are now available in your personal status.

In addition, let us remind you that the deadline for Assignment 3 is next Wednesday, 11th of December. For this and the following submission let us remind you… Read more

Dear all,

The submissions for Assignment 2 have now been graded. The points and the feedback are now available in your personal status.

In addition, let us remind you that the deadline for Assignment 3 is next Wednesday, 11th of December. For this and the following submission let us remind you also of important details:

  • Only valid submissions are graded. Thus, make sure to submit each problem in the corresponding format and submission in CMS. For example, remember that submissions for Problem 4 should include the PDF (or HTML) AND the notebook with the code. Make sure all submitted files are complete and readable.
  • Plagiarism is not allowed in any circumstance. That is, any external source, included Generative AI, should be cited. Duplicated submissions across different groups (or individuals) are also plagiarism cases.

Do not forget that there are still another 3 Assignments and thus enough room to qualify for the exam, and more importantly, time to learn the Elements of ML!

If you have questions, do not hesitate to ask in the Forum or in the tutorials.

Looking forward to seeing you all in class next week,

Prof. Isabel Valera

Today's class cancelled due to illness of Prof. Valera

Written on 05.12.24 by Isabel Valera

Dear all,

Unfortunately, I am afraid I need to cancel today's lecture as I am feeling unwell due to a strong cold. 

The slides of the lecture are now available and, given I will skip this lecture, please read Chapter 7 of the ISLP book.  I will address your questions at the beginning of the… Read more

Dear all,

Unfortunately, I am afraid I need to cancel today's lecture as I am feeling unwell due to a strong cold. 

The slides of the lecture are now available and, given I will skip this lecture, please read Chapter 7 of the ISLP book.  I will address your questions at the beginning of the lecture next week, before starting with unsupervised learning.

See you all next week,

Prof. Isabel Valera

 

Assignment 1 Graded

Written on 28.11.24 by Aiman Al-Azazi

Dear EML students,

The submissions for Assignment 1 have been graded. The points and the feedback are now available in your personal status.

Best regards,
Your EML Team

Tutorial Agenda for Next two weeks

Written on 28.11.24 by Kavya Gupta

Dear Students, 

Here is the agenda of what will be discussed in the tutorials for next two weeks. 

Week: 2nd - 6th Dec (Generalization & Model Selection)

  • Exercise Sheet 2: Problems 6, 7, and 8
  • Exercise sheet 1: Problem 6

Week: 9th - 13th Dec (Beyond Non-linearity)

Dear Students, 

Here is the agenda of what will be discussed in the tutorials for next two weeks. 

Week: 2nd - 6th Dec (Generalization & Model Selection)

  • Exercise Sheet 2: Problems 6, 7, and 8
  • Exercise sheet 1: Problem 6

Week: 9th - 13th Dec (Beyond Non-linearity)

  • Exercise sheet 1 : Problems 7, 8, 9, and 10

Also, Assignment #3 will be released this afternoon. Go over the assignment and ask any questions you might have in the tutorials. 
Additionally, feel free to ask questions related to lectures or other topics during the tutorials.

As a reminder, we will not extend any deadlines for the assignments  and team groupings without any exception. 
Please select your team members carefully and submit the assignments on time. 

All the deadlines are already present on CMS. 

Thank you!


Best, 
Prof. Isabel Valera and Dr. Kavya Gupta

Reminder: Assignment Deadlines and Important Updates

Written on 25.11.24 by Kavya Gupta

Dear Students, 

A gentle reminder of the deadline of Assignment #2 is Wednesday (27th November) 23:59 hrs. 
For the programming question, ensure you upload either a PDF or HTML file. Submissions without this will not be graded.
Team grouping for Assignment #2 was due last week. If you missed the… Read more

Dear Students, 

A gentle reminder of the deadline of Assignment #2 is Wednesday (27th November) 23:59 hrs. 
For the programming question, ensure you upload either a PDF or HTML file. Submissions without this will not be graded.
Team grouping for Assignment #2 was due last week. If you missed the registration, you can still submit the assignment individually on CMS.
There will be no extensions for this assignment and no exceptions. 

Assignment #3 will be released on 28th November. 
FYI, team grouping deadline is 4th December 23:59 hrs. Register your teams as soon as possible to avoid missing this deadline.
Submission deadline is 11th December 23:59 hrs.

Again, there will be no extensions for any deadlines.

Please read the submission guidelines carefully to avoid mistakes. Late or improperly formatted submissions will not be considered.

Thank you for you understanding. 

Best, 

Prof. Isabel Valera and Dr. Kavya Gupta
 

No tutorials next week - (25-29) November

Written on 19.11.24 by Kavya Gupta

Dear Students, 

There will not be any tutorials next week (25-29 November). 

Thank you!


Best, 
Prof. Isabel Valera and Dr. Kavya Gupta

Tutorial Agenda : 18 - 22 November

Written on 14.11.24 by Kavya Gupta

Dear Students, 

For next week, we’ll focus on Problems 4 and 5 from Exercise Sheet #2.
Assignment #2 will be released this afternoon. Go over the assignment and ask any questions you might have in the tutorials. 
Additionally, feel free to ask questions related to lectures or other topics during… Read more

Dear Students, 

For next week, we’ll focus on Problems 4 and 5 from Exercise Sheet #2.
Assignment #2 will be released this afternoon. Go over the assignment and ask any questions you might have in the tutorials. 
Additionally, feel free to ask questions related to lectures or other topics during the tutorials.

As a reminder, we will not extend any deadlines for the assignments from now on.
Please select your team members carefully and submit the assignments on time. 

All the deadlines are already present on CMS. 

Thank you!


Best, 
Prof. Isabel Valera and Dr. Kavya Gupta

Assignment #1 Submission Deadline

Written on 13.11.24 by Kavya Gupta

Dear Students, 

Gentle reminder of the deadline for Assignment #1 that is today midnight.
We have again opened the team groupings for changing or updating your teams. 

For further assignments, please register your teams ATLEAST one week before the deadline. 
Thank you for your… Read more

Dear Students, 

Gentle reminder of the deadline for Assignment #1 that is today midnight.
We have again opened the team groupings for changing or updating your teams. 

For further assignments, please register your teams ATLEAST one week before the deadline. 
Thank you for your understanding!

Best, 
Prof. Isabel Valera and Dr. Kavya Gupta

Tutorial Agenda : 11 - 15 November

Written on 07.11.24 by Kavya Gupta

Dear Students, 

To make the tutorials more effective and organized, we’ll be sharing a list of problems to be discussed each week.
Tutors will discuss each problem in the tutorials, however we encourage you to try these problems on your own beforehand and bring any questions to the… Read more

Dear Students, 

To make the tutorials more effective and organized, we’ll be sharing a list of problems to be discussed each week.
Tutors will discuss each problem in the tutorials, however we encourage you to try these problems on your own beforehand and bring any questions to the tutorial. 

For next week, we’ll focus on Problems 1, 2, and 3 from Exercise Sheet #2 (releasing this afternoon).
Additionally, feel free to ask questions related to lectures or other topics during the tutorial.

We hope this approach enhances the tutorial learning experience.

Thank you!


Best, 
Prof. Isabel Valera and Dr. Kavya Gupta
 

 

Guidelines Assignment Submission - Missing information

Written on 04.11.24 by Kavya Gupta

Dear Students, 

We've noticed that some students are submitting their assignments without including their full names and matriculation numbers at the top of their PDF, HTML, or Jupyter Notebook files.
Please remember to double-check your submissions to ensure they meet this requirement, whether… Read more

Dear Students, 

We've noticed that some students are submitting their assignments without including their full names and matriculation numbers at the top of their PDF, HTML, or Jupyter Notebook files.
Please remember to double-check your submissions to ensure they meet this requirement, whether you’re working individually or as part of a team.

Submissions missing this information will not be graded, so it's essential to include it. 

Thank you for your attention to this detail and for helping us streamline the grading process.

Best, 
Prof. Isabel Valera and Dr. Kavya Gupta

 

 


 

Tutorial - Next Friday: 8th November, 2024

Written on 31.10.24 by Kavya Gupta

Dear Students, 

Important update for those attending the Friday tutorial on 8th November 2024:

For next week only, there is a room change. You may attend the tutorial in either HS003 in Building E1.3 or U.39 in Building E2.5.

Thank you for your understanding!

Prof.  Isabel Valera and Dr.… Read more

Dear Students, 

Important update for those attending the Friday tutorial on 8th November 2024:

For next week only, there is a room change. You may attend the tutorial in either HS003 in Building E1.3 or U.39 in Building E2.5.

Thank you for your understanding!

Prof.  Isabel Valera and Dr. Kavya Gupta

Tutorial - Next Friday: 8th November, 2024

Written on 31.10.24 by Kavya Gupta

Dear Students, 

Important update for those attending the Friday tutorial on 8th November 2024:

For next week only, there is a room change. You may attend the tutorial in either HS003 in Building E1.3 or U.39 in Building E2.5.

Thank you for your understanding!

Prof.  Isabel Valera and Dr.… Read more

Dear Students, 

Important update for those attending the Friday tutorial on 8th November 2024:

For next week only, there is a room change. You may attend the tutorial in either HS003 in Building E1.3 or U.39 in Building E2.5.

Thank you for your understanding!

Prof.  Isabel Valera and Dr. Kavya Gupta

Tutorials for next week

Written on 26.10.24 by Kavya Gupta

Dear Students , 

Due to the public holiday on Friday, students who will miss their scheduled tutorial that day have the option to attend any tutorial session on Monday or Thursday of the same week.
This option is available only for the upcoming week, and is subject to available space and tutors… Read more

Dear Students , 

Due to the public holiday on Friday, students who will miss their scheduled tutorial that day have the option to attend any tutorial session on Monday or Thursday of the same week.
This option is available only for the upcoming week, and is subject to available space and tutors approval.
Please ensure you check for availability before attending an alternative session.

Thank you for your understanding!

Prof.  Isabel Valera and Dr. Kavya Gupta

 

 

Tutorial Assignments

Written on 21.10.24 by Kavya Gupta

Dear Students, 

All of the students registered in the CMS are now assigned to a tutorial. 

Please check your respective tutorials. 

Also, note we will have two parallel tutorials on Friday slot 12 -2 PM as well, in room HS003 and HS002 E1.3. 

Thanks.

Prof.  Isabel Valera and Dr. Kavya… Read more

Dear Students, 

All of the students registered in the CMS are now assigned to a tutorial. 

Please check your respective tutorials. 

Also, note we will have two parallel tutorials on Friday slot 12 -2 PM as well, in room HS003 and HS002 E1.3. 

Thanks.

Prof.  Isabel Valera and Dr. Kavya Gupta
 

Tutorial Assignments

Written on 18.10.24 by Kavya Gupta

Dear students, 
We have now assigned you to the tutorials according to your preferences. 

Please check your assignments. 

Also, note on Thursday there will be two tutorials in parallel : 2-4 PM in Building E1.3 in HS001 and HS003. 

Thanks 

Prof.  Isabel Valera and Dr. Kavya… Read more

Dear students, 
We have now assigned you to the tutorials according to your preferences. 

Please check your assignments. 

Also, note on Thursday there will be two tutorials in parallel : 2-4 PM in Building E1.3 in HS001 and HS003. 

Thanks 

Prof.  Isabel Valera and Dr. Kavya Gupta

Tutorial Preferences in CMS

Written on 15.10.24 by Kavya Gupta

Dear students, 
We have rectified the problem in setting your preferences for the tutorials. You can see your preferences in your "Personal Status" page now. 

Please select your preferences by Friday 12 PM. We will be starting the tutorials from next week. 

See you all on Thursday at 4pm at the… Read more

Dear students, 
We have rectified the problem in setting your preferences for the tutorials. You can see your preferences in your "Personal Status" page now. 

Please select your preferences by Friday 12 PM. We will be starting the tutorials from next week. 

See you all on Thursday at 4pm at the GHH!

Prof.  Isabel Valera and Dr. Kavya Gupta

 

 

 

Select your preferences on the tutorial slots before Friday October 18th at 12pm

Written on 15.10.24 by Isabel Valera

Dear students,

We have now enabled the option for you to select your preferences regarding the tutorial slots. Please add your preferences before this Friday, 18th of October, at 12pm. We will inform you on the tutorial assignment shortly afterwards, i.e., on Friday afternoon.

 

See you all… Read more

Dear students,

We have now enabled the option for you to select your preferences regarding the tutorial slots. Please add your preferences before this Friday, 18th of October, at 12pm. We will inform you on the tutorial assignment shortly afterwards, i.e., on Friday afternoon.

 

See you all on Thursday at 4pm at the GHH!

Prof.  Isabel Valera and Dr. Kavya Gupta

 

 
Show all

Elements of Machine Learning

Summary

 

 

In this course we will discuss the foundations – the elements – of machine learning. In particular, we will focus on the ability of, given a data set, to choose an appropriate method for analyzing it, to select the appropriate parameters for the model generated by that method, and to assess the quality of the resulting model. Both theoretical and practical aspects will be covered.

Lectures will start on October 17th!

Prerequisites        

 

The course is targeted at students in computer science, data science and AI, cybersecurity, bioinformatics, math, and general sciences with a mathematical background. Students should know the basics of programming, proof techniques, linear algebra, and statistics, for example by having taken Programming I and II (for programming), Mathematics for Computer Scientists I and II (for linear algebra), and then either Statistics Lab or Mathematics for Computer Scientists III (for statistics).

Type

Basic Lecture (6 ECTS) for BSc DSAI, CySec, and Computer Science; Advanced Lecture (6 ECTS) for all others except for the M.Sc. Cybersecurity.
Lecturers

Prof. Dr. Isabel Valera and Dr. Kavya Gupta
Lectures

Thursdays, 16–18 o'clock in person in E.2.2 Lecture Hall 0.01 (Günter Hotz Hörsaal) - Lectures will be recorded (more details coming soon).  
Assignments

5 assignment sheets, including theoretical and programming exercises. 

Tutorials 

 

 

 

All tutorials will be in person. 

Monday : 10-12h in HS003 in E1.3.
Monday : 14-16h in HS003 in E1.3.
Thursday : 14-16h in HS003  and HS001 in E1.3.
Friday : 12-14h in HS003 and HS002 in E1.3.
Exams Main Exam - 14-17h, 19th February, 2025
Re-exam - 14-17h, 20th March, 2025

Office Hours

 

Prof. Dr. Isabel Valera and Dr. Kavya Gupta: after each lecture
Teaching Assistants: by appointment

Language

English
Schedule

 Tentative Schedule of the Lectures.

     Lecture Date         Number    Topic      Assignment        Due date    
oct 17, 2024 1 Introduction    
oct 24, 2024 2

Regression

 #1 Nov. 13th
oct 31, 2024 3    
nov 07, 2024 4

Classification

 #2 Nov. 27th
nov 14, 2024 5    
nov 21, 2024 6

Generalization & Model Selection

 #3 Dec.11th
nov 28, 2024 7    
Dec 05, 2024 8 Beyond Linearity    
Dec 12, 2024 9 Unsupervised I: (Dimensionality Reduction) #4 Jan. 8th
Dec 19, 2024 10 Unsupervised II: (Clustering)    
    Christmas break    
Jan 09, 2025 11 Tree-based Models #5 Jan 22nd
Jan 16, 2025 12 SVMs    
Jan 23, 2025 13 NNs    
Jan 30, 2025 14 ML & Real World    
feb 06, 2025 15 Q&A lecture for exam preparation    
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