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Data Mining and Machine Learning for Social Science

An introductory course for data mining and machine learning for social science. The course focuses on presenting typical data mining and machine learning techniques by using a variety of examples in social science.

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Data ManipulationPDF

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Data Manipulation with AWKPDF

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Data Manipulation with MySQLPDF

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Data Visualisation and Graphical Analysis.pdfPDF

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Graphical Analysis with gnuplotPDF

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Introduction to Machine LearningPDF

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Classification and Decision TreesPDF

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K-Nearest Neighbour ClassifierPDF

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Unsupervised Data Mining - ClusteringPDF

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Unsupervised Density-based ClusteringPDF

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Mining the Social Web - Twitter ProjectsPDF

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Tracking Language Mobility in the Twitter ...PDF

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Item URL

http://data.d4science.org/ctlg/ResourceCatalogue/data_mining_and_machine_learning_for_social_science

Additional Info

Field	Value
Availability	On-Site
Course	Introductory Course in Data Mining and Machine Learning for Social Science
Length	331 slides
Lesson number	12
Prerequisites	None
Provider Institution	ETHZ - Swiss Federal Institute of Technology Zurich
Target users	Social Scientists
Target users	Data Scientists
Target users	PhD Students
Target users	Professionals
Target users	Other
Thematic Cluster	Text and Social Media Mining [TSMM]
Thematic Cluster	Human Mobility Analytics [HMA]
Thematic Cluster	Social Data [SD]
Training material typology	Slides
system:type	TrainingMaterial

Management Info

Field	Value
Author	BRAGHIERI MARCO
Maintainer	BRAGHIERI MARCO
Version	1
Last Updated	8 October 2021, 13:12 (CEST)
Created	29 June 2018, 11:34 (CEST)