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_modules/module-1.md

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: **Lecture 21**{: .label .label-red} Attention & transformers
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: <br>
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: [[M1]](/info/books/#primary-textbooks) <br> Ch 20.5, Ch 15
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: **Lecture 22**{: .label .label-red} Representation learning I
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: **Holiday!**{: .label .label-gray} No lecture
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: <br>
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: [[M1]](/info/books/#primary-textbooks) <br> Ch 15
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: [[PH]](/info/books/#primary-textbooks)
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: **Lecture 23**{: .label .label-red} Representation learning II
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: HW7 out
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: <br>
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: [[M1]](/info/books/#primary-textbooks) <br> Ch 15
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: [[PH]](/info/books/#primary-textbooks)
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: **Lecture 24**{: .label .label-red} Some ways to do machine learning wrong

info/books.md

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2020
- [SB]/[SSS] [Understanding Machine Learning: From Theory to Algorithms](http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning), Shalev-Shwartz and Ben-David; Cambridge University Press, 2014.
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- [JWHT] [An Introduction to Statistical Learning](https://www.statlearning.com/), James, Witten, Hastie, and Tibshirani; Springer, 2023.
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- [T] [Deep learning theory lecture notes](https://mjt.cs.illinois.edu/dlt/), Matus, Telgarsky; 2021.
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- [PH] [Formal Algorithms for Transformers](https://arxiv.org/abs/2207.09238), Phuong, Hutter; 2022.
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All freely accessible (an MIT IP may be required)
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