Subject: Subject Sylbus: Machine Learning - 046195 (Current)

Machine Learning - 046195
Credit
Points
3.5
Given In
Semester
a+b
Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2 2 8

Determination of the grade according to progress during the semester and a final examination.


Prerequisites: ( Signals and Systems 044130
and Introduction to Probability H 104034 )
or ( Signals and Systems 044131
and Introduction to Probability H 104034 )
Identical Courses: Neural Networks for Control and Diagnostic 036049
Introduction to Machine Learning 236756


Signal Processing, Artificial Intelligence and Control. Problems of Classification, Regression and Clustering. Neural Networks: Multi-Level Perceptrons and Radial Basis Functions. Approach, Hypothesis Spaces. Dimensionality Reduction Using Principal Components. Classification Using Support Vector Machines.




Times and places of examinations 01/2021 2021/2022 Winter Semester
examination timedaydateSeason
Friday25.02.2022
Friday18.03.2022

Timetable to semester 01/2021 2021/2022 Winter Semester
RoomBuildingHourdayLecturerExercise
Lecture
no.Registering
Group
12:30-14:30SundayMr. Yair OmerLecture1011
12:30-14:30MondayExercise11
12:30-14:30SundayMr. Yair OmerLecture1012
16:30-18:30TuesdayExercise12
08:30-10:30MondayDoctor Levy YehudaLecture2021
10:30-12:30TuesdayExercise21
08:30-10:30MondayDoctor Levy YehudaLecture2022
10:30-12:30WednesdayExercise22


System of hours to the semesters
Semester Previous Semester information 02/2020 2020/2021 Spring Semester


Textbooks
Compulsory
Book
PublishedPublisherAuthorsBook
Compulsory1999prentic-halls. haykinneural networks: a comprehensive foundation 2nd edition
Compulsory1997mcgraw-hillt.m. mitchellmachine learning

Created in 26/07/2021 Time 17:34:45