During the course, the participant will learn basic methods for data analysis, machine learning and regression analysis using the widely used Pandas, Scikit-learn and PyTorch libraries in a Python environment. Graduates of the course will be able to process large-scale data using machine learning and perform data classification using tools designed to apply neural networks.
Literature
NORGAARD, M. Neural networks for modelling and control of dynamic systems: a practitioner's handbook. Advanced textbooks in control and signal processing. London: Springer, c2000. ISBN 1-85233-227-1.
Advised literature
JHA, A.R. Mastering PyTorch: Build powerful neural network architectures using advanced PyTorch 1. x features. Packt Publishing Ltd, 2021.
MCKINNEY, Wes. Python for data analysis: Data wrangling with Pandas, NumPy, and IPython." O'Reilly Media, Inc.", 2012.