Overview: Artificial intelligence techniques are powerful tools for solving complex problems. Engineers and scientists use AI, machine learning, and deep learning to analyze large datasets from various sources, such as sensors, images, videos, and biomedical data. This technical talk delves into the workflow of developing and adapting machine learning algorithms. We will explore different methods for classifying electromyogram (EMG) signals and identifying hand/wrist movements, comparing their effectiveness and results. The presentation will cover the entire process, from data collection and preprocessing to model training and evaluation, providing practical insights and best practices for implementing machine learning solutions in biomedical applications.
