Sylabus
Week #1: Course information + Data Science with R rehash (ZM 1, G 3-5)
Week #2-3: Clustering (T1, ZM 8, L15)
Week #4-6: Data and text mining sequences (T 2-3, L 16, L 19)
Week #7-9: Advanced classification methods (SVMs, neural networks) (ZM 9, T 10-12, L 14)
Week #10: Dimension reductions (L 17-18)
Week #11-12: Networks (L 20)
Data Science with R I (JEM221) or the previous Data Science with R (JEM181) are prerequisites of the course.
Anotace
Data Science with applications in R course covering the advanced topics and following the Data Science with R I course. Data Science with R II covers clustering, text mining, support vector machines, neural networks, and networks.