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Visual Media Analysis: A Research Toolkit
A collection of resources and materials to perform visual media analysis, organised into three units: - Visual Media Analysis for Online Discourses: provides conceptual and...-
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Social Network Analysis @MasterBigData2022
This course introduces students to the theories, concepts, and measures of Social Network Analysis (SNA), which is aimed at characterizing the structure of large-scale Online...-
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Introduction to Data science for Social Scientists
This course, initially designed for social scientists, covers several topics of data science. Python programming Data Cleaning and Transformation Classification Clustering...-
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Explaining Explanation Methods
The most effective Artificial Intelligence (AI) systems exploit complex machine learning models to fulfill their tasks due to their high performance. Unfortunately, the most...-
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Can Big Data Bridge Gaps in Migration Statistics
Traditional statistical data on international migration suffers from the problems (gaps) of inconsistency in definitions, differences in geographical coverages, absence of...-
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Social Network Analysis with Python
This set of tutorials provides an introduction to Social Network Analysis in Python with networkx. Topics covered: Introduction to NetworkX NDlib: Network Diffusion library...-
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Social Network Analysis
Social Network Analysis course @ Master SoBigData This course introduces students to the theories, concepts and measures of Social Network Analysis (SNA), that is aimed at...-
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SoBigData Plus Plus e-infrastructure
In this webinar, we introduce you to the SoBigData R.I. Are shown the main features of the SoBigData R.I. It is explained how to integrate a new method, how to execute an...-
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Second SoBigData Plus Plus Awareness Panel R. I. Platforms Data Protection an...
This webinar, which took place on 10 November 2020, was aimed at exploring the theme of data protection and intellectual property issues in platforms. The first speaker was...-
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Data Inquiries Initiative
The Data Inquiries Initiative (http://datainquiries.publicdatalab.org/) proposes a new way to do research with data and to teach data literacy. It suggests, in particular, to...-
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Complex Network Analysis Lecture
These slides are for a lecture “Network analysis”, of 851-0585-38L Data Science in Techno-Socio-Economic Systems course presented in the spring semester 2021 at ETH Zurich....-
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Tutorial on Learning To Rank
Efficiency/Effectiveness Trade-offs in Learning to Rank” tutorial by Claudio Lucchese and Franco Maria Nardini at the European Conference on Machine Learning and Principles...-
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Archive Crawling
Web archives are typically very broad in scope and extremely large in scale. This makes data analysis appear daunting, especially for non-computer scientists. These... -
Data Journalism and Story Telling
The module aims to teach how to present the knowledge extracted from big data using multimedia story telling. It also shows some of the most recent and meaningful experiences...-
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High Performance and Scalable Analytics Module
Mining with big data or big data mining has become an active research area. Running current analytical methodologies and software tools on a single personal computer cannot...-
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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...-
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Interactive Learning Environments
King’s College London developed a variety of data science materials based on R and Python. R is a de facto standard in statistical computing and visualisation, while our... -
Database Module
The 'Database Module' aims to introduce database analysis, focusing on DBMS architecture, Relational Models, SQL language and SQL nested queries. It is part of the Master in...-
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Information Retrieval Module
Study, design and analysis of IR systems which are efficient and effective to process, mine, search, cluster and classify bigdata document collections, coming from textual as...-
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