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Update README.md
Fixed formattings and links in attribution section
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README.md

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@@ -157,7 +157,7 @@ and Data Scientist Advocate at Anaconda.
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All the **Code** material is distributed under the terms of the Apache License. See [LICENSE](./LICENSE) file for additional details.
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All the instructional materials in this repository are free to use, and made available under the [Creative Commons Attribution
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license][https://creativecommons.org/licenses/by/4.0/]. The following is a human-readable summary of (and not a substitute for) the [full legal text of the CC BY 4.0
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license](https://creativecommons.org/licenses/by/4.0/). The following is a human-readable summary of (and not a substitute for) the [full legal text of the CC BY 4.0
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license](https://creativecommons.org/licenses/by/4.0/legalcode).
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You are free:
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Under the following terms:
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* **Attribution**---You must give appropriate credit (mentioning that
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your work is derived from work that is Copyright © Software
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Carpentry and, where practical, linking to
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http://software-carpentry.org/), provide a [link to the
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license][cc-by-human], and indicate if changes were made. You may do
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so in any reasonable manner, but not in any way that suggests the
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* **Attribution** --- You must give appropriate credit, and provide a link to the
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[LICENSE](https://github.com/leriomaggio/ppml-tutorial/LICENSE) [`cc-by-human`](https://creativecommons.org/licenses/by/4.0/),
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and indicate if changes were made.
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You may do so in any reasonable manner, but not in any way that suggests the
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licensor endorses you or your use.
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**No additional restrictions**---You may not apply legal terms or
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* **No additional restrictions** --- You may not apply legal terms or
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technological measures that legally restrict others from doing
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anything the license permits.
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### Acknowledgment and funding
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The material developed in this tutorial has been supported by Anaconda, and the [Software Sustainability Institute](https://www.software.ac.uk) (SSI), as part of my [SSI fellowship](https://www.software.ac.uk/about/fellows/valerio-maggio) on `PETs` (Privacy Enhancing Technologies).
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The material developed in this tutorial has been supported by Anaconda, and the [Software Sustainability Institute](https://www.software.ac.uk) (SSI), as part of my
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[SSI fellowship](https://www.software.ac.uk/about/fellows/valerio-maggio) on `PETs` (Privacy Enhancing Technologies).
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Please see this [deck](https://speakerdeck.com/leriomaggio/privacy-enhancing-data-science-ssi-fellowship-2022) to know more about my fellowship plans.
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