joaorico

10 ms·

31.
by joaorico 8y ago
Have you tried some of the better math related apps? Like DragonBox's Elements, Algebra and Numbers [1]? Or the ones by DuckDuckMoose, such as MooseMath [2]? KhanAcademy's very first levels might be good as well [3]. With your old
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by joaorico 9y ago
Just yesterday I offered "So Good They Can't Ignore You" to someone about to start their professional career. Mostly as a counterweight to the mainstream advice. I recommend watching Bret Victor's "Inventing on Prin
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by joaorico 9y ago
This is off-topic, but perhaps interesting to some, and might add some weight to the opinions expressed in the article. The author of this article is Daniel T. Willingham. He is a psychologist at the University of Virginia and author of som
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by joaorico 9y ago
In theory, GTD is great. In practice, it comes up short in several ways. TLDR - For some years now, I use a system called Agile Results [1]. It's a method (with less marketing behind it than GTD) which has been gaining traction for a l
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Sam Altman: “The Winding Path of Progress” – Talks at Google(youtube.com)
2 points by joaorico 9y ago|0 comments
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Bell's Theorem (Minute Physics + 3blue1brown)(youtube.com)
2 points by joaorico 9y ago|0 comments
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by joaorico 9y ago
There's a slight confusion in this thread, that many are rightfully pointing out, as there's a bit of context missing in the article. The thing is, the term 'digital native' has been heavily used as a way of saying tha
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by joaorico 9y ago
Feynman has another fantastic talk on "What is Science?" [1]. Among other things, at a certain point in that talk, this is how he lays out his "best definition of science": "What science is, I think, may be somethin
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Why so many great scientists came from early-20th-century Hungary(slatestarcodex.com)
7 points by joaorico 9y ago|0 comments
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by joaorico 9y ago
The book I recommend to people getting started is Competitive Programming 3 [1] by Steven and Felix Halim. It's pretty great if you have already a basic grasp of simple algorithms and a bit of C++. And as you say you need to practice,
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by joaorico 10y ago
This is the first edition of this important book. AFAICT the only differences to the second edition are the additional forewords and a new Foreword to the Second Edition by Papert. This foreword is not mentioned in this online edition by MI
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Jürgen Schmidhuber: The Problems of AI Consciousness Is Already Solved(youtube.com)
2 points by joaorico 10y ago|1 comments
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by joaorico 10y ago
Scott has talked about Penrose's books and ideas several times, one of them in direct conversation with him: http://www.scottaaronson.com/blog/?p=2756 http://www.scottaaronson.com/democritus/l
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by joaorico 10y ago
Make sure you pick up Axler's "Linear Algebra Done Right". It is my definite pick for someone entering the topic. And the second edition has a solutions manual floating around, which is very useful for practice (more importan
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by joaorico 10y ago
In that case, I recommend "The Manga Guide to ..." series. [1] I haven't read all of them, but they're a good attempt. (If you enjoy or can tolerate the quirkiness of japanese manga style.) Check out The Manga Guide to D
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by joaorico 10y ago
One solution strategy that works very well from my experience is to ask them upfront whether they want to play "for real" or to play to learn. [edit: A third mode is "for (silly) fun" where everything is allowed.] This w
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by joaorico 10y ago
Alan Kay's intro quote is from this interview to Dr.Dobb's [0]. Here's some more context to that quote: "Binstock: Are you still programming? Kay: I was never a great programmer. That's what got me into making more
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Reinforcement learning with unsupervised auxiliary tasks(deepmind.com)
102 points by joaorico 10y ago|2 comments
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by joaorico 10y ago
This coursera course was taken down, but it is now up and running at lagunita.stanford.edu [0], which uses edx's open source platform [1]. The same happened to other stanford courses previously on coursera, you can find them here [2],
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by joaorico 10y ago
#8 is a fun one (some of these answers are half-joking): "Proof by contradiction. Assume P = NP. Let y be a proof that P = NP. The proof y can be verified in polynomial time by a competent computer scientist, the existence of which we
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by joaorico 10y ago
This reminded me of talk by David Mermin, about Michael E. Fischer: an important statistical physicist and the father of Matthew Fischer, as they mention in the text. As with almost everything David Mermin writes, I specially enjoyed this t
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Towards an integration of deep learning and neuroscience(arxiv.org)
2 points by joaorico 10y ago|0 comments
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by joaorico 10y ago
I liked the '10 second' explanation on what quantum computing is that Scott gave some time ago, a propos the Justin Trudeau incident [0]. And here's other experts' '35 seconds' versions besides Trudeau's [
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A Theory of the Learnable (L. G. Valiant) [pdf](cs.cmu.edu)
2 points by joaorico 10y ago|0 comments
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An Intuitive Explanation of Solomonoff Induction(lesswrong.com)
2 points by joaorico 10y ago|0 comments
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What Is AIXI? – An Introduction to General Reinforcement Learning(jan.leike.name)
3 points by joaorico 10y ago|0 comments
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by joaorico 10y ago
Absolutely, and this is right at the center of Ericsson's theory of excellence, learning and deliberate practice [1]. He calls this 'mental representations', and together with the 'brain's flexibility' they for
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by joaorico 10y ago
In addition to those, mostly as an example on how to start a actionable framework on luck, there's James Austin's 4 definitions of luck, see e.g. pmarca's old blog entry about it: http://pmarchive.com/luck_and
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by joaorico 10y ago
The pdf is available from several sources, including google scholar and this blog post: https://gridworld.wordpress.com/2015/07/28/computational-rat...
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Computational Rationality: A Converging Paradigm for Intelligence in [...](science.sciencemag.org)
3 points by joaorico 10y ago|1 comments

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