Syllabus
Statistics and data mining - similarities and differences.
Statistical methods in data mining. Searching for various types of dependence - correlation analysis, regression models, contingency tables, time series analysis.
Bayesian data analysis, Bayesian networks.
Probabilistic models of document retrieval.
Annotation
Examples of using probabilistic and statistical methods in data engineering (information retrieval, data mining). Basic knowledge of statistics is required.