LMU “Machine Learning” Tutorial Materials

University of Munich, Summer Semester 2018, Course Homepage

• Lecturer: Prof. Dr. Volker Tresp
• Assistant: Julian Busch, Christian Frey
• Tutor: Changkun Ou

Time: Tuesday, 2pm-4pm or 4pm-6pm.

Tutorial Sessions

• 2018.04.17 Week 1: Introduction to Python
  • Python for Machine Learning in 90min
• 2018.04.24 Week 2: Perceptron
  • Manuscript
  • Assignment Solution
  • Perceptron in Python
• 2018.05.01 Week 3
  • Canceled (Public Holiday)
• 2018.05.08 Week 4: ADALINE, SGD, Overfitting, Introduction to Tensorflow
  • Manuscript
  • Assignment Solution
  • Introduction to TensorFlow
  • Model Selection with Train-Test Split
• 2018.05.15 Week 5: Neural Networks Basics, CNNs, Simpson Classification (Introduction to Keras)
  • Manuscript
  • Assignment Solution
  • The Simpson Classification
  • GPU Training File
  • Model File (50 Epochs)
  • Training History
• 2018.05.22 Week 6
  • Canceled (Public Holiday)
• 2018.05.29 Week 7: Manifold Learning, LLE, GANs and Simpson Classification (Tensorflow Implementation)
  • Manuscript
  • The Simpson Classification
  • GPU Training File
  • Tensorboard
• 2018.06.05 Week 8: Autoencoder, Kernel Theory
  • Manuscript
• 2018.06.12 Week 9: Frequentist v.s. Bayesians
  • Manuscript
• 2018.06.19 Week 10: Dimensionality Reduction of PCA
  • Manuscript
  • Illustration of MLE and PCA
• 2018.06.26 Week 11: Maximum A Posteriori Estimation & SVMs
  • Manuscript
  • Illustration of SVM
• 2018.07.03 Week 12: Model Selection
  • Manuscript
• 2018.07.10 Week 13: Bayesian Networks
  • Manuscript

License

MIT & CC-BY 4.0 Copyright © 2018 Ou Changkun