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:
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:
Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.