Akademik Dersler - Tanıtım


Code - Course Title	ENM524 - Predicting with Machine Learning
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOÇENT DOKTOR EMRE ÇİMEN
Mode of Delivery	Face to Face
Prerequisites	There is no prerequisites and co-requisites.
Courses Recomended
Required or Recommended Resources	Shai Shalev-Shwartz, Shai Ben-David, Understanding Machine Learning - From Theory to Algorithms, Cambridge University Press, 2014Ethem Alpaydın, Introduction to Machine Learning, 2e. The MIT Press, 2010.
Recommended Reading List
Assessment methods and criteria	1 Midterm, 1 Final, 1 Project
Work Placement
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction to machine learning
Week - 2	Data representation, data pre-processing
Week - 3	Supervised learning, classification, regression
Week - 4	Support Vector Machines
Week - 5	Decision trees and nearest neighbor algorithms
Week - 6	Project presentations
Week - 7	Ensemble learning methods
Week - 8	Neural networks and convolutional neural networks
Week - 9	Convolutional neural networks
Week - 10	Unsupervised learning problems
Week - 11	Clustering and association analysis
Week - 12	Dimensionality reduction and feature extraction
Week - 13	Performance metrics and parameter optimization
Week - 14	Project presentations

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0