Sie sind hier

Machine Learning and Data Mining

Welcome to the page of Machine Learning and Data Mining course of winter terms 2017/2018!

Schedule

Lecture and Tutorial - Machine Learning and Data Mining (6 ECTS; for Master and Bachelor students in Web Science, Computer Science, Computational Visualistics and Business Informatics)

Veranstaltungsnummer: 0432028

Dozent(in) Prof. Dr. Steffen Staab
Time slots

We. 08.30-10.00, Room G410

Dozent(in) Dr. Mahdi Bohlouli, Raphael Menges
Time slots

We. 14.15-15.45, Room A213
Th. 16.15-17.45, Room E113

Lectures are hold on Wednesdays beginning October 18 and start on 8:30AM if not stated otherwise below. Tutorials are hold on Wednesdays and Thursdays beginning October 25.

Course Material

Date Lecture Topics Slides
18.10.

Motivation and Introduction

machinelearning-0-overview-purged.pdf
25.10. Programming with Python  
01.11. No Lecture, Public Holiday  
08.11.    
15.11.    
22.11.    
29.11.    
6.12.    
13.12. 8:00AM sharp to 9:25AM    
10.1.    
17.1.    
24.1.    
31.1. 8.30am    
31.1. 4:15PM, room to be announced Dr. Thomas Gottron talks about machine learning at credit rating agency Schufa  
7.2. Questions & Answers  

 

Date Tutorial Topics Material
25.10. & 26.10. Tutorial and assignment structure, groups and SVN introduction  
08.11. & 09.11. Solutions of "Machine Learning Fundamentals", review of next assignment  
15.11. & 16.11.    
22.11. & 23.11.    
29.11. & 30.11.    
06.12. & 07.12.    
13.12. & 14.12.    
10.01. & 11.01.    
17.01. & 18.01.    
24.01. & 25.01.    
31.01. & 01.02.    
07.02. & 08.02.    

Assignments

Please form groups of three people to work on the assignments here, until 26th of October!  They are graded before the next tutorial and it is mandatory to reach 60% of the points in total over all assignments to be allowed to participate in the exam. E.g., if there are 10 assignments each 10 points, you need in total at minimum 60 points in sum over all assigments to participate in the exam.
 

Release Date Assignment Submission Deadline at 9:00AM Sheets
23.10. Machine Learning Fundamentals 06.11. assignment01.pdf
06.11. Machine Learning with Python 13.11.  
13.11.   20.11.  
20.11.   27.11.  
27.11.   04.12.  
04.12.   11.12.  
11.12.   18.12.  
18.12.   08.01.  
08.01.   15.01.  
15.01.   22.01.  
22.01.   29.01.  
29.01.   05.02.  

Exam

  • 1st exam will be on Wednesday, 21st Februrary 2018, at 8:15AM in room D028. The registration to this exam will be opened on 15th January 2018. Permitted students according to assignments can register to the exam. The exam can be found with the number 432028 in Klips.
  • 2nd exam will be on Wednesday, 11th April 2018, at 14:15AM in room tba.

Core Literature & Systems

  • Charu C. Aggarwal. Data Mining: The Textbook. Springer, 2015.
  • Ian Goodfellow, Yoshua Bengio and Aaron Courville. Deep Learning. MIT Press, 2016. http://www.deeplearningbook.org/

Further Literature, Systems & Stuff

Main Conferences

  • NIPS - Neural Information Processing
  • ICML - Int. Conf. on Machine Learning
  • IEEE ICDM - Int. Conf. on Data Mining (different from "ICDM" without "IEEE"!)
  • ACM KDD - Knowledge Discovery
  • ECML/PKDD
Beteiligte: 

Prof. Dr. Steffen Staab

staab@uni-koblenz.de

Dr. Mahdi Bohlouli

bohlouli@uni-koblenz.de

Raphael Menges

raphaelmenges@uni-koblenz.de