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# Pages
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<h1>Table of contents</h1>
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<h2>Fundamentals of Artificial Intelligence and Knowledge Representation</h2>
<ul>
<li><h3><a href=faikr1.html>FAIKR module 1</a></h3></li>
<li><h3><a href=faikr2.html>FAIKR module 2</a></h3></li>
<li><h3><a href=faikr3.html>FAIKR module 3</a></h3></li>
</ul>
<h2><a href=dm-ml.html>Machine Learning and Data Mining</a></h2>
<h2><a href=smm.html>Statistical and Mathematical Methods for Artificial Intelligence</a></h2>
<h2>Cognition and Neuroscience</h2>
<ul>
<li><h3><a href=cn1.html>CN module 1</a></h3></li>
<li><h3><a href=cn2.html>CN module 2</a></h3></li>
</ul>
<h2>Combinatorial Decision Making and Optimization</h2>
<ul>
<li><h3><a href=cdmo1.html>CDMO module 1</a></h3></li>
<li><h3><a href=cdmo2.html>CDMO module 2</a></h3></li>
</ul>
<h2><a href=dl.html>Deep Learning</a></h2>
<h2>Image Processing and Computer Vision</h2>
<ul>
<li><h3><a href=ipcv1.html>IPCV module 1</a></h3></li>
<li><h3><a href=ipcv2.html>IPCV module 2</a></h3></li>
</ul>
<h2>Languages and Algorithms for Artificial Intelligence</h2>
<ul>
<li><h3><a href=laai2.html>LAAI module 2</a></h3></li>
<li><h3><a href=laai3.html>LAAI module 3</a></h3></li>
</ul>
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ainotes.cls,79b3324
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MIT License
Copyright (c) 2023 Tian Cheng Xia
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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# Unibo M.Sc. AI Notes
My notes for the courses of the Master's Degree in Artificial Intelligence at the University of Bologna.
LaTeX source files are in the [`main` branch](https://github.com/NotXia/unibo-ai-notes/tree/main).\
Compiled PDF files are in the [`pdfs` branch](https://github.com/NotXia/unibo-ai-notes/tree/pdfs).
**Note**: I'm terrible at taking notes. Please, consider ~~double~~ triple checking anything you plan to use.
## Table of contents
### Year 1
- **Fundamentals of Artificial Intelligence and Knowledge Representation**
- [FAIKR module 1](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/fundamentals-of-ai-and-kr/module1/faikr1.pdf)
- [FAIKR module 2](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/fundamentals-of-ai-and-kr/module2/faikr2.pdf)
- [FAIKR module 3](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/fundamentals-of-ai-and-kr/module3/faikr3.pdf)
- [**Machine Learning and Data Mining**](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/machine-learning-and-data-mining/dm-ml.pdf)
- [**Statistical and Mathematical Methods for Artificial Intelligence**](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/statistical-and-mathematical-methods-for-ai/smm.pdf)
- **Cognition and Neuroscience**
- [CN module 1](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/cognition-and-neuroscience/module1/cn1.pdf)
- [CN module 2](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/cognition-and-neuroscience/module2/cn2.pdf)
- **Combinatorial Decision Making and Optimization**
- [CDMO module 1](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/combinatorial-decision-making-and-optimization/module1/cdmo1.pdf)
- [CDMO module 2](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/combinatorial-decision-making-and-optimization/module2/cdmo2.pdf)
- [**Deep Learning**](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/deep-learning/dl.pdf)
- **Image Processing and Computer Vision**
- [IPCV module 1](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/image-processing-and-computer-vision/module1/ipcv1.pdf)
- [IPCV module 2](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/image-processing-and-computer-vision/module2/ipcv2.pdf)
- **Languages and Algorithms for Artificial Intelligence**
- [LAAI module 2](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/languages-and-algorithms-for-ai/module2/laai2.pdf)
- [LAAI module 3](https://github.com/NotXia/unibo-ai-notes/blob/pdfs/year1/languages-and-algorithms-for-ai/module3/laai3.pdf)
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