COW :: Courseware :: Courses :: ceng499 - 20162
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: Special Topics: Introduction to Machine Learning
InfoStaff
objective: This course provides a broad introduction to machine learning. The topics include supervised and unsupervised learning, Bayesian inference/classification, regression, clustering, kernels and Support Vector Machines (SVM) and accompanying concepts such as model and feature selection, combining classifiers such as boosting, active learning, dimension reduction techniques.
type: technical
oibs-code: 5710499
Instructors:
  • Selim Temizer
    email:
    room: B108
    tel: 5594
Assistants:
  • Ercan Selcuk Bolukbasi
    email:
  • Yusuf Mücahit Çetinkaya
    email:
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Announcements
  • Welcome! (posted by temizer, on 2017-02-20 00:00:01)

    ML

  • Hit Counter (posted by temizer, on 2017-02-20 00:00:01)

    Hit Counter

  • Meeting Time and Location (posted by temizer, on 2017-02-20 00:00:00)
    Monday 15:40 - BMB 5
    Tuesday 11:40, 12:40 - BMB 5

Lecture NotesExams
Syllabus:Lectures:Reading:References:Homeworks:Project:Extra:
  • final : 2017-06-06 13:30:00, rooms: bmb1, bmb2
  • evaluation : 2017-05-23 11:40:00, rooms: bmb5
  • midterm : 2017-04-20 18:00:00, rooms: bmb2, bmb3, bmb4
Homeworks
homeworks
topic:
[[+hid]] hw_title deadline graded selectit
1 4327 Student Keys 2017-05-26 17:30:00 yes select
2 4328 Attendance and Participation 2017-05-26 17:30:00 yes select
3 4329 Homework 1 2017-04-23 23:59:59 yes select
4 4330 Homework 2 2017-05-28 23:59:59 yes select
5 4331 Homework 3 2017-06-15 23:59:59 yes select
6 4332 Project 2017-06-14 23:59:59 yes select
7 4333 Midterm 2017-04-20 18:00:00 yes select
8 4334 Final 2017-06-06 13:30:00 yes select
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2017-11-25 08:37:40, 0.049 secs
COW by: Ahmet Sacan