Advanced Machine Learning WM-MA-S2-E1-UM
The purpose of the course is to provide knowledge and skills in advanced data analysis and the basics of machine learning, including neural networks. In this class, students will be introduced to advanced data analysis methods and machine learning models in R and Python. They will acquire the skills to: load a dataset, identify its flaws and improve them, select an appropriate model and evaluate it. They will also become familiar with advanced libraries and frameworks in R and Python for data analysis in science and business.
(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się
(in Polish) E-Learning
(in Polish) Grupa przedmiotów ogólnouczenianych
Subject level
Learning outcome code/codes
Type of subject
Preliminary Requirements
Course coordinators
Assessment criteria
For all learning outcomes, the following assessment criteria are adopted for all forms of verification:
grade 5: fully achieved (no obvious shortcomings),
grade 4.5: achieved almost fully and criteria for awarding a higher grade are not met,grade 4: largely achieved and the criteria for a higher grade are not met,
grade 3.5: largely achieved -with a clear majority of positives -and the criteria for granting a higher grade are not met,
grade 3: achieved for most of the cases covered by the verification and criteria for a higher grade are not met,
grade 2: not achieved for most of the cases covered by the verification.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: