zintinio5

7 ms·

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by zintinio5 10y ago
I'm working on a book covering parallel and concurrent programming in Clojure, with the style of building abstractions before actually using them. On the topic of Joy of Clojure, as far as I could tell, the book is not meant to be an i
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by zintinio5 10y ago
Kolmogorov's contribution did not have any real initial impact, it was met with lukewarm reception. You might enjoy reading "The origins and legacy of Kolmogorov’s Grundbegriffe" for a longer exposition on his most well-known
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by zintinio5 10y ago
You've laid out a plan to teach software development. Computer Science might be more accurately named "Computing Science".
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by zintinio5 10y ago
I really appreciate your viewpoint, a friend and I had a discussion about this exact problem last night. Nobody wants to dirty themselves in the details, but that's precisely where you need to go. Also, you have a very interesting blog
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by zintinio5 10y ago
I'm sorry, but I'm not sure that you're correct that a data scientist is a statistician who can write distributed systems. Problems have been solved for decades by people with quantitative training, from well before distribut
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by zintinio5 10y ago
It's some...interesting code. https://github.com/twitter/heron/blob/master/heron/common/sr...
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by zintinio5 10y ago
I think your last point hits the nail on the head. There's a large amount of risk (especially at Twitter's size), and nobody wants to be saddled with an enormous and embarrassing failure. In addition, you need many hands to build
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by zintinio5 10y ago
It has good tooling, IDE support, lots of people know it, it's fast, relatively easy to write, accessible from Scala, Groovy, Clojure, etc. Java is a step removed from having to write a system in C or C++, but you don't need absol
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by zintinio5 10y ago
Correct, I was not using Numpy. I did not think of a good way to fit my program into a Numpy shaped solution. The main point is that I didn't NEED to try, as an almost literal translation to Julia worked much better. I also did not try
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by zintinio5 10y ago
The Julia version was a literal translation of the Python version, the only difference being that I changed the entry point in the Julia version to allow restarting searches in different ranges. That made parallelization very easy, which is
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by zintinio5 10y ago
For many users of Julia, long-running performance matters more than microbenchmarks. Having converted a naively written Python program to Julia (there was a huge amount of computation being done over a large search space), I experienced a m
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by zintinio5 10y ago
OP is referring to the existence of mature tools like Theano and Torch. If Deep Learning can help, Amazon is already using it internally, possibly with either their own framework, or with one of the other open-source ones. If something will
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by zintinio5 11y ago
* Foundations of Machine Learning * All of Statistics * Doing Bayesian Data Analysis Also the ML specialization on Coursera