Machine Learning 1 - 096411
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Lecture |
Exercise |
Laboratory |
Project or
Seminar |
House
Work |
Weekly
Hours |
3 |
1 |
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6 |
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Possibility to guided reading
Determination of the grade according to progress during the semester and the submission of the final thesis
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Prerequisites:
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(
| | Introduction to Statistics |
094423
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| | |
and
| Introduction to Computer Science H |
234117
| ) |
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or
|
(
| | Introduction to Statistics |
094423
| |
| | |
and
| Introduction to Computer Science N |
234221
| ) |
|
or
|
(
| | Introduction to Statistics |
094423
| |
| | |
and
| Introduction to Computer Science |
234111
| ) |
Deal with Advanced Methods of Data Analsis and Will Cover Both Data, Visualization, Classification and Prediction. Specific Topics: Machine, Resampling, Model Selection and Regularization, Decision Trees and Regression. Cluster Analysis. Understanding the Theory of the Different Methods and Having the Ability to Apply It on Real Data.
Times and places of examinations
02/2020
2020/2021 Spring Semester
| examination time | day | date | Season |
|---|
| | Friday | 30.07.2021 | à |
| | Monday | 18.10.2021 | á |
Timetable to semester 02/2020
2020/2021 Spring Semester
| Room | Building | Hour | day | Lecturer | Exercise
Lecture | no. | Registering
Group |
|---|
| | | 08:30-11:30 | Tuesday | Doctor Garber Dan | Lecture | 10 | 11 |
| | | 08:30-09:30 | Monday | | Exercise | 11 |
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| | | 08:30-11:30 | Tuesday | Doctor Garber Dan | Lecture | 10 | 12 |
| | | 12:30-13:30 | Thursday | | Exercise | 12 |
Textbooks| Published | Publisher | Authors | Book |
|---|
| 1997 | prentice hall | p. cabena, p. hadjnian and rolf p. cabena, p. hadjnian and rolf | discovering data mining from concept to implementation |
| 1996 | mcgraw-hillo | j. p. bigus | data mining with neural networks: solving .business problems - from application dev. to dec |
Created in 06/03/2021 Time 01:28:38
