Algorithms and data structures

Additional Info

  • ECTS credits: 6
  • Semester: 2
  • University: University of Hamburg
  • Objectives:

     

    - Students get to know the most important classes of modern machine learning algorithms. - They are going to develop an understanding why certain algorithms work well and others don't. - They learn how to evaluate and compare the results of different learning algorithms. - They learn how to model machine learning problems and what are common pitfalls.

Read 2996 times Last modified on Friday, 13 May 2016 18:43
Home Program structure Second Semester Algorithms and data structures

Connect with us

Our partners' addresses

University of L'Aquila, Italy (UAQ)

Department of Information Engineering, Computer Science and Mathematics, via Vetoio (Coppito), 1 – 67100 L’Aquila (Italy)

Autonomous University of Barcelona, Catalonia - Spain (UAB)

Departament de Matemàtiques, Edifici Cc - Campus UAB 08193 Bellaterra – Catalonia

Gdansk University of Technology, Poland (GUT)

Department of Solid State Physics, G. Narutowicza 11/12, 80-952 Gdansk, Poland

University of Hamburg, Germany (UHH)

Department of Mathematics
Bundesstr. 55 20146 Hamburg - Germany

University of Nice - Sophia Antipolis, France (UNS)

Laboratoire J.A.Dieudonné
Parc Valrose, France-06108 NICE Cedex 2

This web-site reflects the views only of the author, and the EU Commission cannot be held responsible for any use which may be made of the information contained therein.