Homunculiheaded

13 ms·

61.
Beermind – RNN generates beer reviews from category(deepx.ucsd.edu)
29 points by Homunculiheaded 11y ago|8 comments
62.
The Toy Collector's Puzzle(countbayesie.com)
2 points by Homunculiheaded 11y ago|0 comments
63.
The Illustrated Introduction to Probability Spaces(countbayesie.com)
2 points by Homunculiheaded 11y ago|0 comments
64.
Programming the Fundamental Theorem of Calculus(countbayesie.com)
18 points by Homunculiheaded 11y ago|0 comments
65.
by Homunculiheaded 11y ago
I've worked in this situation and it worked out great, and I've worked in this situation and it was terrible. There are a couple of things I would say are key: - Everyone has to use the same communication tools, ie everyone in the
66.
How Big Is the Difference Between Being 90% and 99% Certain?(countbayesie.com)
5 points by Homunculiheaded 11y ago|0 comments
67.
by Homunculiheaded 11y ago
I think SICP states it best: "In our study of program design, we have seen that expert programmers control the complexity of their designs with the same general techniques used by designers of all complex systems. They combine primitiv
68.
by Homunculiheaded 11y ago
I'm not disagreeing with your general premise that the fundamental right for equality is the basis of the constitution and therefore equal marriage is implied by it. But to your points: "the right of black people to be free and eq
69.
"The Little Prover" Theorem Proving from Author of the Little Schemer(mitpress.mit.edu)
1 points by Homunculiheaded 11y ago|0 comments
70.
What can Jevons' Paradox tell us about energy law?(questionable-economics.com)
8 points by Homunculiheaded 11y ago|3 comments
71.
by Homunculiheaded 11y ago
I worked briefly for the federal government and realized that the bureaucratic system has two primary functions: 1. accumulate power 2. diffuse responsibility Regarding the latter, occasionally the system build up too much responsibility wh
72.
Writing Finnegans Wake with a Recurrent Neural Net(countbayesie.com)
1 points by Homunculiheaded 11y ago|0 comments
73.
Making Sense of Hypothesis Testing with a Bayesian A/B Test(countbayesie.com)
1 points by Homunculiheaded 11y ago|0 comments
74.
Building a Voight-Kampff Test with Bayes Factor(countbayesie.com)
25 points by Homunculiheaded 11y ago|5 comments
75.
by Homunculiheaded 11y ago
Robert Ash, imho one of the best writers for mathematical self-study, lists "Include Solutions to Exercises" as #2 piece of advice in 'Remarks on Expository Writing in Mathematics'[0] His quote is better than any summary
76.
by Homunculiheaded 11y ago
From the amazing "Design Principles Behind Smalltalk"[0], which is short, beautiful and everyone interested in programming and software should read at least once: "Operating System: An operating system is a collection of thin
77.
by Homunculiheaded 12y ago
Have you looked into remote work? I love Reno and have been remote working here at several different companies for many years. Right now, it's fairly easy to get a good front-end web dev gig remotely that pays much closer to SV salarie
78.
by Homunculiheaded 12y ago
Anyone interested in Logic and Probability should take the time to read through (at least) chapters 1 & 2 of Jaynes' Probability: the Logic of Science [0]. Jaynes' is the arch-Bayesian and in these chapters mathematically deve
79.
by Homunculiheaded 12y ago
Many of the examples in this post are great examples of 'Modernist Art' and are decidedly not postmodern. This is roughly the equivalent of writing a post on "Functional programming is Anti-Mind" and then demonstrating t
80.
by Homunculiheaded 12y ago
I've worked remote for quite awhile now at a pretty broad range of companies. For the jobs that have had remote teams and local offices I do agree that I'm able to get a lot of communication done quickly when I visit the office. H
81.
by Homunculiheaded 12y ago
My experience has been that none of the major Deep Learning libraries (Theano, Torch7, Caffe) offer support for OpenCL, whereas they all make it trivially easy to get models running on a CUDA GPU. On top of that NVIDIA has a library of deep
82.
by Homunculiheaded 12y ago
I have a running joke with my machine learning friends that I will write a Data Science/ML book titled "A Thousand Ways to Say 'Singular Value Decomposition'". The number of papers and techniques out there that are
83.
by Homunculiheaded 12y ago
> computers are good at some things, humans are good at others "You insist that there is something a machine cannot do. If you will tell me precisely what it is that a machine cannot do, then I can always make a machine that will do
84.
From Zero to Multivariate Calculus (In 5 Minutes) [video](vimeo.com)
3 points by Homunculiheaded 12y ago|0 comments
85.
by Homunculiheaded 12y ago
One thing that this article fails to point out is how often librarians were wrong before Google. In 1986 there was a study[0] that showed that across the board reference librarians were only correct about 55% of the time. I think most peopl
86.
by Homunculiheaded 12y ago
It's always worth it to put your feelers out. Even for jobs I love I'll occasionally respond to recruiters just to keep up with the market and see what's out there. Often this will confirm my happiness with my current role. B
87.
by Homunculiheaded 12y ago
I really dislike these numberphile videos as they deliberately construct their arguments such that the answer makes math seem like a magic trick and that math is truly confusing, which is the opposite of helping people gain an intuition aro
88.
by Homunculiheaded 12y ago
Tails answers this question on their site [0] Their general opinion is that this makes Tails less secure as now you have to trust both the host and the visualization software. Provided that you trust Tails itself. The expected way to run
89.
by Homunculiheaded 12y ago
To be fair to Kahneman by 2012 he did come around and recognize that there were serious issues with "priming" research[0]. The chapter on priming in "Thinking Fast Thinking Slow" completely ruined the book for me. The v
90.
by Homunculiheaded 12y ago
I'm surprised that they didn't mention Leo Breiman's famous paper "Statistical Modelling: The Two Cultures"[0]. A worthwhile read for anyone interested in the topic. I could sum it up, but the abstract does a better

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