252-0220-10L  Introduction to Machine Learning (Only Project)

SemesterSpring Semester 2021
LecturersA. Krause, F. Yang
Periodicityyearly recurring course
Language of instructionEnglish
CommentOnly for Ph.D. students!



Courses

NumberTitleHoursLecturers
252-0220-10 AIntroduction to Machine Learning (Only Project)60s hrsA. Krause, F. Yang

Catalogue data

Abstract
ObjectiveThe course will introduce the foundations of learning and making predictions from data. We will study basic concepts such as trading goodness of fit and model complexitiy. We will discuss important machine learning algorithms used in practice, and provide hands-on experience in a course project.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersA. Krause, F. Yang
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

 
Main linkInformation
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Doctoral Department of Computer ScienceDoctoral and Post-Doctoral CoursesWInformation