64-361 Exercises Machine Learning

Course offering details

Instructors: Steffen Remus; Jochen Sieg

Event type: Practical course/lab

Displayed in timetable as: ML Übung

Hours per week: 2

Credits: 3,0

Language of instruction: English

Min. | Max. participants: - | 100

Comments/contents:
See the comments for the lecture itself.

Learning objectives:
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Didactic concept:
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Literature:
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Additional examination information:
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Small group(s)
This course is divided into the following small groups:

  • Exercises Machine Learning

    Steffen Remus; Jochen Sieg

    Mon, 11. Apr. 2022 [16:15]-Mon, 11. Jul. 2022 [17:45]

    Show small group

  • Exercises Machine Learning

    Steffen Remus; Jochen Sieg

    Mon, 11. Apr. 2022 [16:15]-Mon, 11. Jul. 2022 [17:45]

    Show small group

  • Exercises Machine Learning

    Steffen Remus; Jochen Sieg

    Mon, 11. Apr. 2022 [16:15]-Mon, 11. Jul. 2022 [17:45]

    Show small group

  • Exercises Machine Learning

    Steffen Remus; Jochen Sieg

    Tue, 12. Apr. 2022 [16:15]-Tue, 12. Jul. 2022 [17:45]

    Show small group

  • Exercises Machine Learning

    Steffen Remus; Jochen Sieg

    Tue, 12. Apr. 2022 [16:15]-Tue, 12. Jul. 2022 [17:45]

    Show small group
Appointments
Date From To Room Instructors
There are no appointments.
Exams in context of modules
Module (start semester)/ Course Exam Date Instructors Compulsory pass
Class session overview
  • There are no appointments.
Instructors
Jochen Sieg
Steffen Remus