- http://christophermeiklejohn.com/distributed/systems/2013/07/12/readings-in-distributed-systems.html
- http://dancres.org/reading_list.html
- http://rxin.github.io/db-readings/
- http://research.microsoft.com/en-us/um/people/lamport/pubs/pubs.html
- http://www.eecs.berkeley.edu/GradAffairs/CS/Prelims/db.html
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I hereby claim:
- I am bsletten on github.
- I am bsletten (https://keybase.io/bsletten) on keybase.
- I have a public key whose fingerprint is 9EFA 6658 312D 7467 22EE 149D DED2 F87A 57D3 DFD0
To claim this, I am signing this object:
Verifying that +bsletten is my blockchain ID. https://onename.com/bsletten |
This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.
I will generally list things in order of easier to more formal/challenging content.
It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.
I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an