information_theory/README.md

## Information Theory 

* :scroll: [A Mathematical Theory of Communication](a-mathematical-theory-of-communication-1948.pdf)

* [Differential Privacy](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/dwork.pdf)
  - How do we quantify the exposure an individual faces from being
    included in a statistical dataset?  How do we anonymize aggregated
    data in a way that has formal guarantees?
Update to all READMEs for hosted content reorganization of so-called historical papers 2015-10-07 15:11:04 -04:00			`## Information Theory`

			`* :scroll: [A Mathematical Theory of Communication](a-mathematical-theory-of-communication-1948.pdf)`
Add link to Dwork's seminal Differential Privacy An essential topic in our machine learning and big data-hungry world. 2014-11-05 18:56:18 -05:00
Fix a couple dead links. (#517) * Fix dead link for "On the resemblance and containment of documents" * Fix dead link for "The operating system: should there be one?" * Fix dead link for "Differential Privacy" * Fix dead link for "A Theoretician's Guide to the Experimental Analysis of Algorithms" 2018-06-01 15:56:18 -04:00			`* [Differential Privacy](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/dwork.pdf)`
Add link to Dwork's seminal Differential Privacy An essential topic in our machine learning and big data-hungry world. 2014-11-05 18:56:18 -05:00			`- How do we quantify the exposure an individual faces from being`
			`included in a statistical dataset? How do we anonymize aggregated`
			`data in a way that has formal guarantees?`