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46 lines
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Markdown
46 lines
3.7 KiB
Markdown
# Unibo M.Sc. AI Notes
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My notes for the courses of the Master's Degree in Artificial Intelligence at the University of Bologna.
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LaTeX source files are in the [`main` branch](https://github.com/NotXia/unibo-ai-notes/tree/main).\
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Compiled PDF files are in the [`pdfs` branch](https://github.com/NotXia/unibo-ai-notes/tree/pdfs).
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**Note**: I'm terrible at taking notes. Please, consider ~~double~~ triple checking anything you plan to use.
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## Table of contents
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### Year 1
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- **Fundamentals of Artificial Intelligence and Knowledge Representation**
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- [FAIKR module 1](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/fundamentals-of-ai-and-kr/module1/faikr1.pdf)
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- [FAIKR module 2](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/fundamentals-of-ai-and-kr/module2/faikr2.pdf)
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- [FAIKR module 3](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/fundamentals-of-ai-and-kr/module3/faikr3.pdf)
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- [**Machine Learning and Data Mining**](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/machine-learning-and-data-mining/dm-ml.pdf)
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- [**Statistical and Mathematical Methods for Artificial Intelligence**](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/statistical-and-mathematical-methods-for-ai/smm.pdf)
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- **Cognition and Neuroscience**
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- [CN module 1](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/cognition-and-neuroscience/module1/cn1.pdf)
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- [CN module 2](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/cognition-and-neuroscience/module2/cn2.pdf)
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- **Combinatorial Decision Making and Optimization**
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- [CDMO module 1](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/combinatorial-decision-making-and-optimization/module1/cdmo1.pdf)
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- [CDMO module 2](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/combinatorial-decision-making-and-optimization/module2/cdmo2.pdf)
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- [**Deep Learning**](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/deep-learning/dl.pdf)
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- **Image Processing and Computer Vision**
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- [IPCV module 1](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/image-processing-and-computer-vision/module1/ipcv1.pdf)
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- [IPCV module 2](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/image-processing-and-computer-vision/module2/ipcv2.pdf)
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- **Languages and Algorithms for Artificial Intelligence**
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- [LAAI module 2](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/languages-and-algorithms-for-ai/module2/laai2.pdf)
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- [LAAI module 3](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year1/languages-and-algorithms-for-ai/module3/laai3.pdf)
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### Year 2
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- [**Artificial Intelligence in Industry**](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year2/artificial-intelligence-in-industry/a3i.pdf)
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- [**Machine Learning for Computer Vision**](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year2/machine-learning-for-computer-vision/ml4cv.pdf)
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- [**Natural Language Processing**](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year2/natural-language-processing/nlp.pdf)
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- [**Distributed Autonomous Systems**](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year2/distributed-autonomous-systems/das.pdf)
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- **Ethics in Artificial Intelligence**
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- [Ethics module 1](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year2/ethics-in-ai/module1/ethics1.pdf)
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- [Ethics module 2](https://raw.githubusercontent.com/NotXia/unibo-ai-notes/pdfs/year2/ethics-in-ai/module2/ethics2.pdf)
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## Contributors
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Special thanks for the help to:
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[](https://github.com/liuktc) |