pieteradejong

7 ms·

1.
by pieteradejong 5y ago
Suggestion: I've found that doing a graduate CS degree really helps me build a theoretical foundation which has made me much better at my work. Example: a much deeper understanding of the HTTP protocol and the client-server model, and
2.
by pieteradejong 6y ago
Graham Hancock talks about this on several of his Joe Rogan episodes.
3.
by pieteradejong 6y ago
Thanks! I've borrowed this one, with very basic info.
4.
by pieteradejong 6y ago
Looks like the fundamentals of ML would be covered by the Math for CS section.
5.
The Datacenter as a Computer [pdf](web.eecs.umich.edu)
3 points by pieteradejong 6y ago|1 comments
6.
by pieteradejong 6y ago
Found this recently, and wanted to share. I'm sure someone will find this interesting. Partly written by Url Holzle, of Google.
7.
by pieteradejong 6y ago
Fantastic work. I love how the url is "hello-world".
8.
by pieteradejong 6y ago
good one: https://www.coursera.org/learn/python
9.
by pieteradejong 6y ago
"used it to create my own resume site with analytics that I send out to companies. I can see who viewed my CV, when, and whether or not they actually read through it or bounced immediately" I'd be super interested to learn mo
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Google researchers humbled when AI tool falls short in real-life testing(techcrunch.com)
2 points by pieteradejong 6y ago|0 comments
11.
by pieteradejong 6y ago
Awesome, thanks! Listening now, and shared with brother.
12.
by pieteradejong 9y ago
what would be signs that this is taking off commercially? will explore the github repo!
13.
by pieteradejong 9y ago
As a software engineer looking for a highly marketable and differentiated skill set, given your projections for quantum computing roadmap, when should I start exploring this area? (or: when should I start writing code and doing side project