Lectures Combobulated by Prof. Dr.-Ing. Mark Schutera
Philosophy of AI
📑 Lecture Notes
| # |
Chapter |
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| Full |
Philosophy of AI · Lecture Notes |
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| 01 |
Anthropomorphism |
📄 PDF |
| 02 |
Accountability |
📄 PDF |
| 03 |
Embodiment |
📄 PDF |
| 04 |
Agency |
📄 PDF |
| A |
Session Preparation Guide (Appendix) |
📄 PDF |
| B |
Debate Format & Moderator Guide (Appendix) |
📄 PDF |
Unsupervised Deep Learning
📑 Lecture Notes
| # |
Chapter |
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| Full |
Unsupervised Deep Learning · Lecture Notes |
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| 01 |
Similarity and Distance |
📄 PDF |
| 02 |
Centroid Clustering |
📄 PDF |
| 03 |
Hierarchical Clustering |
📄 PDF |
| 04 |
Density-Based Clustering |
📄 PDF |
| 05 |
Dimensionality Reduction |
📄 PDF |
| 06 |
Variational Inference |
📄 PDF |
| 07 |
Uncertainty Estimation |
📄 PDF |
| 08 |
Transfer Learning |
📄 PDF |
| 09 |
Self-Supervised Learning |
📄 PDF |
| 10 |
Weak Supervision |
📄 PDF |
| 11 |
Reinforcement Learning Fundamentals |
📄 PDF |
Numerical Methods
📑 Lecture Notes
| # |
Chapter |
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Numerical Methods · Lecture Notes |
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| 01 |
Enter Numerical Methods |
📄 PDF |
| 02 |
Floating-Point Arithmetic |
📄 PDF |
| 03 |
Error Analysis |
📄 PDF |
| 04 |
Newton Methods |
📄 PDF |
| 05 |
Global Optimization |
📄 PDF |
| 06 |
Numerical Integration |
📄 PDF |
Full Stack Handwerkszeug
📑 Lecture Notes
| # |
Chapter |
Download |
| Full |
Full Stack Handwerkszeug · Lecture Notes |
📄 PDF |
| 00 |
Projektbericht |
📄 PDF |
| 01 |
Development and Production |
📄 PDF |
| 02 |
Version Everything: Git & GitHub |
📄 PDF |
| 03 |
Dependencies & Structure |
📄 PDF |
| 04 |
Integrate the Model |
📄 PDF |
| 05 |
The Backend: APIs & Services |
📄 PDF |
| 06 |
Databases & SQL |
📄 PDF |
For students: These materials are provided for educational purposes. Do not redistribute without permission.