6.1.1 See you again!

Course subject(s) Module 6. Wrap up

Dear student,

We hope you have enjoyed this course which offers an introduction to Unsupervised Learning, Reinforcement Learning & Neural Networks. By now, you should be able to:

  • Describe the main classes of clustering techniques
  • Implement k-means and hierarchical clustering
  • Motivate the need and choice of dimensionality reduction techniques
  • Implement Principal Component Analysis (PCA) for feature extraction
  • Explain how deep neural networks work and their advantages
  • Train deep neural networks for classification and regression tasks
  • Explain the basic concepts and techniques of reinforcement learning
  • Describe how reinforcement learning could be applied in real world applications


Tom Viering, also on behalf of all other lecturers

Creative Commons License
AI Skills: Introduction to Unsupervised, Deep and Reinforcement Learning by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/ai-skills-introduction-to-unsupervised-deep-and-reinforcement-learning/
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