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Regular version of the site

FacultiesCoursesApplied Mathematics and Information Science

Data Analysis and Data Mining

Academic year: 2014/2015
Type: Compulsory course
Instructors: Mirkin, Boris (delivers lectures, conducts seminars and administers exams), Chernyak, Ekaterina L. (conducts seminars, checks works and administers exams)
Language: English
Level: Bachelor
Area of studies: Applied Mathematics and Information Science
When: 3 year, 1, 2 module
Credits: 4.5
Prerequisites:
Intermediate level spoken English; basics of calculus including the concepts of function, derivative and the first-order optimality condition; basic linear algebra including vectors, inner products, Euclidean distances, matrices, and singular value and eigen-value decompositions; basic probability including conditional probabilities, Bayes theorem, stochastic independence, and Gaussian distribution; and basic set theory notation.