Delivered at:: School of Fundamental and Applied Linguistics

Course type:: Compulsory course

When:: 1 year, 3 module

Instructor

Kuptsov, Pavel

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Abstract

During this course students get acquainted with math concepts related to data science, master basic methods of collecting, processing and transforming of data using Python. The course deals with the concepts of data preprocessing, visualization, classical machine learning methods and deep neural networks. It includes basics of classification methods, regression, image recognition and natural language processing.

Master’s Programme 'Applied Linguistics and Text Analytics'

Address

What is Data Science?

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Course Syllabus

Abstract