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Training

XomniaTrainingsMachine learning – unsupervised learning
  • 09:30 - 13:00
  • Xomnia HQ
  • €400

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Machine learning – unsupervised learning

Can you learn without a teacher? Computers can, a concept coined unsupervised learning in machine learning literature. For many real world problem, obtaining labels for a dataset can be very expensive, labour intensive and error prone, meaning that following a supervised approach is not practical. And sometimes just imitating human decision making isn’t enough: there may be hidden patterns in the data that add valuable insights.

This course covers the core concepts and algorithms of unsupervised learning. You will gain hands-on experience with applying basic unsupervised machine learning techniques in Python using scikit-learn. You will also learn about algorithms such as k-means, support vector machines, principal component analysis, and DBSCAN.

Tools

  • Python
  • scikit-learn
  • pandas

Techniques

  • Pattern recognition
  • Clustering
  • Principal component analysis

Requirements: The course requires basic knowledge of Python and pandas, and some basic concepts of machine learning.

  • Data science
  • Machine Learning
  • Python