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5 Thesis/5 Resources/5 Resources - README.md
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# Table of Contents for 5 Resources
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## Subdirectories
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- [[Literature_Reviews/Literature_Reviews - README]]
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## Summary
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The quick brown fox jumps over the lazy dog. The dog stays blissfully asleep. :)
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Robert recommended this topic space to me: formal methods applied to machine
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learning algorithims. The purpose is clear-cut: if we're able to use formal
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methods to prove things about machine learning based systems, we can make
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claims that their implementation in critical systems is safe and viable.
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This review seems to talk a good bit about that.
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# First Pass
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- Machine learned software is especially viable because it is more general
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than other types of programming. Things such as computer vision and decision
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making are very difficult to program manually relative to their ML counterpart.
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# Table of Contents for Literature_Reviews
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## Files
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- [[A Review of Formal Methods applied to Machine Learning.md]]
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## Summary
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- [[2 Logs/2 Logs - README]]
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- [[2 Logs/2 Logs - README]]
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- [[3 Notes/3 Notes - README]]
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- [[3 Notes/3 Notes - README]]
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- [[4 Meetings/4 Meetings - README]]
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- [[4 Meetings/4 Meetings - README]]
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- [[5 Resources/5 Resources - README]]
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## Files
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## Files
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- [[Thesis Thoughts.md]]
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- [[Thesis Thoughts.md]]
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