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1. |
Name of discipline |
Machine Learning with Python |
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2. |
Course of study, specialty |
4, Mathematics and Information Technology (majors in) |
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3. |
Semester of training |
7 |
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4. |
Amount of credits |
1,5 |
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5. |
Full name of lecturer |
PhD of physical and mathematical sciences, associate professor Hadun Veranika Hennadieuna |
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6. |
Objectives of studying discipline |
Give students basic knowledge and programming skills in Python in relation to the tasks of machine learning. |
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7. |
Prerequisites |
Programming. Theory of Probability and Mathematical Statistics. |
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8. |
Contents of discipline |
Tasks of machine learning and programming in Python. |
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9. |
Recommended literature |
1. J. VanderPlas. Python Data Science. – O’Reilly Media, Sebastopol, 2017. 2. Айвазян С.А. и др. Прикладная статистика: Основы моделирования и первичная обработка данных. – М.: Финансы и статистика, 1983. 3. Айвазян С. А. и др. Прикладная статистика: Исследование зависимостей. – М.: Финансы и статистика, 1985. |
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10. |
Teaching methods |
Passive, active, interactive, verbal, visual, problematic |
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11. |
Language learning |
Russian |
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12. |
Conditions (requirements), current control |
– verification of laboratory task. |
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13. |
Form certification |
Credit |