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Veranstaltungen im Sommersemester 2018 / Master-Seminar: Data Analytics
Abstract

The advancements made in the field of machine learning have impacted all walks of life and enhanced our ability to make intelligent decision support systems as well as frameworks to extract information from existing systems in a faster and more efficient manner.

Text and Data Mining is one of those fields where we can readily see the application of machine learning techniques. Everything from topic detection to sentiment analysis has been enhanced by the application of intelligent models and algorithms. The aim of this course is to expose the students to the applications of machine learning to the domain of intelligent text and data mining. The course will be spread over a wide variety of topic areas with the goal of gaining a first look and familiarity with the domain. The learning outcome is to be able to read a research publication and see it's positive contributions while still being able to critique it from an objective point of view

Betreuer: Mofassir Ul Islam Arif
 
Seminar:
Zeit: Di 14-16
Ort: H2
Beginn: 10.04.2018
Zuordnung:MSc WI & IMIT & DA
 
Abgabe:
Zeit:
Ort:
 
Mehr:
Moodle:Moodle
LSF:LSF
Modul- Handbuch:MHB
Voheriger Durchlauf:here