Course unit code:
Course unit title:
Advanced Concepts in Machine Learning
Mode of completion and Number of ECTS credits:
Exm (3 credits)
Course supervisor:
Ing. Mari√°n Gall, PhD.
Name of lecturer(s):
M. Gall (2022/2023 – Winter)
M. Gall (2021/2022 – Winter)
Learning outcomes of the course unit:
Students get acquainted with advanced concepts from the theory of machine learning and artificial intelligence, they can actively use artificial intelligence models to solve classification problems, especially in the field of prediction based on various input parameters.
Prerequisites for registration:
Course contents:
Recommended or required reading:
  • Chollet, F. Deep Learning With Python. Manning Publications, 2017. 384 s. ISBN 9781617294433.
  • Raschka S., Mirjalili V. Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow. Packt Publishing, 2017. 622 s. ISBN 1787125939.
Planned learning activities and teaching methods:
Direct education: exercises 26h Indirect education: preparation for exercises (12h), preparation for the final project (24h)
Assesment methods and criteria:
Regular participation in exercises, elaboration of ongoing tasks, preparation and defense of the final project.
Language of instruction:
Slovak, English
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