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EssentialC.pdf
Stanford CS Education Library: A 45 page summary of the C language. Explains all the common features and techniques for the C language. The coverage is pretty quick, so it is most appropriate for someone with some programming background who needs to see how C works. Topics include variables, int types, floating point types, promotion, truncation, operators, control structures (if, while, for), functions, value parameters, reference parameters, structs, pointers, arrays, the pre-processor, and the standard C library functions. (revised 4/2003)
c 
6 days ago
Essential C
Stanford CS Education Library: A 45 page summary of the C language. Explains all the common features and techniques for the C language. The coverage is pretty quick, so it is most appropriate for someone with some programming background who needs to see how C works. Topics include variables, int types, floating point types, promotion, truncation, operators, control structures (if, while, for), functions, value parameters, reference parameters, structs, pointers, arrays, the pre-processor, and the standard C library functions. (revised 4/2003)
c 
6 days ago
An Overview of 3 Popular Courses on Deep Learning
fast.ai, deeplearning.ai, and an Udacity concentration
deeplearning 
7 days ago
Cockpit: Workspace in Tmux
Cockpit is a HTML5 app to create panes and windows in Tmux. Configure your workspace, download the script and run it :)
tmux 
8 days ago
Chris Meadows on Twitter: "If you use Google Chrome, go to chrome://flags/#autoplay-policy and set it to "Document user activation is required." Boom: no more auto… https://t.co/YHm8qcQD5k"
If you use Google Chrome, go to

chrome://flags/#autoplay-policy

and set it to "Document user activation is required."

Boom: no more auto-playing videos.

You're welcome.
chrome  video 
14 days ago
How online retirement calculators can mislead you
"Instead of saying ‘you will have enough’, or ‘you need to contribute more’, I would prefer such calculators to say ‘given these [stated] assumptions on risk of the returns, we think there is an X% chance that you have enough’."
probability  risk  retirement  investments 
4 weeks ago
The Theoretical Minimum
A number of years ago I became aware of the large number of physics enthusiasts out there who have no venue to learn modern physics and cosmology.  Fat advanced textbooks are not suitable to people who have no teacher to ask questions of, and the popular literature does not go deeply enough to satisfy these curious people.  So I started a series of courses on modern physics at Stanford University where I am a professor of physics.  The courses are specifically aimed at people who know, or once knew, a bit of algebra and calculus, but are more or less beginners.
physics  education 
4 weeks ago
The Environment and Disease: Association or Causation?  
By Sir Austin Bradford Hill CBE DSC FRCP (hon) FRS
(Professor Emeritus of Medical Statistics, University of London)
statistics  causality 
12 weeks ago
Cache: working with cross-testrun state — pytest documentation
--lf, --last-failed - to only re-run the failures.
--ff, --failed-first - to run the failures first and then the rest of the tests.
testing  python 
12 weeks ago
Deep Learning for NLP Best Practices
This post is a collection of best practices for using neural networks in Natural Language Processing. It will be updated periodically as new insights become available and in order to keep track of our evolving understanding of Deep Learning for NLP.
deeplearning  nlp 
12 weeks ago
A better way to solve the housing crisis — tax land, not development - LA Times
Housing scarcity delivers unearned wealth to people who own housing, and it imposes unwarranted burdens on people who don’t. To solve our housing crisis fairly and effectively, we should tax that wealth and use it to ease those burdens. It’s easy to wish that someone would help our disadvantaged fellow citizens. It’s harder to acknowledge our own role in their distress — to admit that our capital gains are their housing crisis. But that is the situation: Linkage fees feed the false belief that some of us in some neighborhoods can keep blocking development and growing our nest eggs, while the city helps the poor by taxing someone else to build affordable housing somewhere else.
politics  housing  Tax  losangeles 
july 2017
What unread books can teach us | Life and style | The Guardian
There are many similarly incisive bits of Eco-wisdom in a 1977 book recently translated into English. Its unprepossessing title is How To Write A Thesis; even worse, it hasn’t been updated for the era of personal computers or the web. Yet really, beneath the surface, it’s about cultivating curiosity and learning how to learn, whether or not you’re doing a PhD. For example, who hasn’t encountered what Eco calls “the alibi of photocopies” – the way that, just by accumulating material, you start to imagine you’ve internalised it? “There are many things I do not know,” he writes, “because I photocopied a text and then relaxed as if I had read it.”
library  books  academia 
july 2017
No Country For Ye Olde Men • Damn Interesting
Britain’s practice of transporting convicts to American colonies was a fearsome punishment, but not for the chronic criminal James Dalton.
history  usa  crime  uk 
july 2017
What is Differential Privacy? – A Few Thoughts on Cryptographic Engineering
Even more usefully, the calculation of “how much” noise to inject can be made without knowing the contents of the database itself (or even its size). That is, the noise calculation can be performed based only on knowledge of the function to be computed, and the acceptable amount of data leakage.

To give an absolutely crazy example of how big the tradeoffs can be, consider this paper by Frederikson et al. from 2014. The authors began with a public database linking Warfarin dosage outcomes to specific genetic markers. They then used ML techniques to develop a dosing model based on their database — but applied DP at various privacy budgets while training the model. Then they evaluated both the information leakage and the model’s success at treating simulated “patients”.

The results showed that the model’s accuracy depends a lot on the privacy budget on which it was trained. If the budget is set too high, the database leaks a great deal of sensitive patient information — but the resulting model makes dosing decisions that are about as safe as standard clinical practice. On the other hand, when the budget was reduced to a level that achieved meaningful privacy, the “noise-ridden” model had a tendency to kill its “patients”.
differentialprivacy  security  Privacy  statistics 
july 2017
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