Course unit code:
A422P2_4I
Course unit title:
Advanced Concepts in Machine Learning
Mode of delivery, planned learning activities and teaching methods:
seminar – 3 hours weekly (on-site method)
Credits allocated:
3
Recommended semester:
Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 3. semester
Level of study:
2.
Prerequisites for registration:
none
Assesment methods:
 
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.
Course contents:
Recommended or required reading:
Recommended:
  • 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.
Language of instruction:
Slovak, English
Name of lecturer(s):
M. Gall (2023/2024 – Winter)
M. Gall (2022/2023 – Winter)
M. Gall (2021/2022 – Winter)
Course supervisor:
Ing. Marián Gall, PhD.
Last modification:
14. 9. 2021

Department:
Department of Information Engineering and Process Control

AIS: 2021/2022  

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