Machine Learning Applications - ML for Engineering

Prof. Kristian Kersting - TU Darmstadt

1: Introduction

2: Linear Models

3: Evaluation

4: SVMs & Unsupervised Learning

5: SVMs & Unsupervised Learning (Supplementary)

6: Decision Tree Learning

7: Deep Learning illustrated using CNNs

8: Deep Learning illustrated using CNNs (Supplementary)

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