Tutorials

We give two walk-through tutorials: the first one is for beginners, it shows some basic commands to quickly get started with using Silas for machine learning and data analytics; the second one is more in-depth and it additionally gives examples on explaining machine learning models.

There are many tasks in a data analysis project, including data collection, visualisation, some light programming etc. These are not in the scope of our tutorials. Interested users can find many online tutorials for these topics. We will focus on the machine learning part of the data analysis process and explainable AI.

Contents:

• Basic Tutorial
  • Download Dataset
  • Generate Configuration Files for Machine Learning
  • Run Machine Learning
  • Use Machine Learning To Perform Prediction
• Advanced Tutorial
  • Machine Learning
  • XAI: Model Explanation
  • XAI: Feature Importance
  • XAI: Adversarial Samples