Welcome, Guest . Login . Türkçe
Where Am I: Ninova / Courses / Faculty of Management / ISL 439E - İşletme Uygulamaları ile Makine Öğrenmesine Giriş
 

ISL 439E - Introduction to Machine Learning with Business Applications

Course Objectives

1. to introduce students several fundamental concepts and methods for machine learning.
2. to familiarize the audience with learning algorithms and their applications in business environments.
3. to develop an understanding of the modern data analysis, strengths and weaknesses of many popular machine learning approaches.

Course Description

Introduction to machine learning, applications of machine learning, introduction to programming with R, supervised and unsupervised learning, linear regression and its extensions, classification overview, logistic regression, linear discriminant analysis, using Bayes’ Theorem for classification, Naive Bayes technique, K-nearest neighbors approach, resampling methods, cross validation, Ridge regression, Lasso regression, tree based methods, random forest technique, boosted regression and classification, support vector machines, neural networks, an overview of deep learning, unsupervised learning methods, principal components analysis, K-means clustering, hierarchical clustering, Apriori algorithm, market basket analyses.

Course Coordinator
Tolga Kaya
Course Language
English
 
 
Courses . Help . About
Ninova is an ITU Office of Information Technologies Product. © 2021