Practical Applications of Artificial Intelligence (SZF_212)
About Study Course
Objective
Familiarise students with the basic principles and applications of artificial intelligence (AI) and high performance computing (HPC), with a particular focus on computer vision and natural language processing (NLP).
Prerequisites
Students should have experience in Python programming, using libraries as NumPy, Pandas and TensorFlow/Pytorch. Be able to work with machine learning models, especially neural networks, and have an understanding of the basics of computer vision (CNN, image processing) and natural language processing (tokenization, Word embeddings, Transformer models).
Learning outcomes
1.Will be familiar with theoretical basics in computer vision and/or natural language processing (NLP)
1.Practical application of image and word processing techniques
1.Ability to develop and adapt computer vision and NLP solutions to specific needs
