Anomaly Detection
With the advent of automatic data collection, it is now possible to store and process…
Analysis of (Social) Network Data
(details coming soon)
Text Mining I – Text Processing
The methods of supervised and unsupervised learning can be applied to data that arises in…
Text Mining II – Sentiment Analysis
The methods of supervised and unsupervised learning can be applied to data that arises in…
Text Mining III – Text Visualization and Misc.
The methods of supervised and unsupervised learning can be applied to data that arises in…
Spotlight on Clustering I
In this course, we introduce a number of clustering methods: DBSCAN, spectral clustering, and ensemble…
Spotlight on Clustering II
In this course, we introduce a number of clustering methods: EM clustering, latent Dirichlet allocation,…
Math/Stats for Machine Learning and AI
To be comfortable with machine learning, learners need some knowledge of a number of mathematical…
Multivariate Visualization Methods and Design Suggestions
Prior to running analyses, it is crucial to gain an understanding of the dataset and…