Bachelor
2022/2023
Machine Learning
Type:
Compulsory course (Information Security)
Area of studies:
Information Security
Delivered by:
Department of Cyber-Physical Systems Information Security
When:
4 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
32
Open to:
students of all HSE University campuses
Instructors:
Artem Perov
Language:
English
ECTS credits:
6
Contact hours:
60
Course Syllabus
Abstract
The discipline "Methods of machine learning " studies a class of artificial intelligence methods, the characteristic feature of which is not the direct solution of a problem, but learning in the process of applying solutions to many similar problems. The purpose of mastering the discipline "Methods of machine learning " is to familiarize students with the theoretical foundations and basic principles of machine learning - namely, with the classes of models (linear, logical, neural network), quality metrics and approaches to data preprocessing. Within the framework of the discipline, methods for testing statistical hypotheses, linear regression models, classification and clustering, ensembles and decision trees, neural network technologies of machine learning are studied. The discipline "Machine learning" provides the knowledge necessary for the subsequent passage of undergraduate practice and the preparation of the thesis. During the training, the control of students' knowledge in the form of homework, control, independent work and an exam is provided. Discipline with online course: Calculus and Optimization for Machine Learning - https://www.classcentral.com/course/calculus-and-optimization-for-machine-learning-17335