joaorico

9 ms·

1.
Computational Complexity: my 60 favorite theorems (1965-2024)(blog.computationalcomplexity.org)
4 points by joaorico 1y ago|0 comments
2.
by joaorico 2y ago
Kafka [1] on which types of book to read: "I believe one should only read those books which bite and sting. If the book we are reading does not wake us up with a blow to the head, then why read the book? To make us happy, as you write?
3.
by joaorico 2y ago
I suppose it's quite off-topic, but some weeks ago I read a small book by Mary Gaitskill, the writer of the piece. It's called "Lost Cat". I highly recommend it. Ironically, it might be an approximate opposite of Pale Fi
4.
by joaorico 2y ago
For anyone diving into Ulysses, I highly recommend checking out The Joyce Project [1]. It's filled with interactive notes that are very useful for understanding the linguistic and cultural references. Here's my reading method that
5.
by joaorico 3y ago
Incidentally, if you’re looking to start reading in French, there is hardly a better book in terms of (impact on literature) times (simple, accessible writing) [2]. It’s also a short book. Regarding the literary merit of Camus, Nabokov had
6.
by joaorico 3y ago
Opportunity costs. The real debate has been whether it makes sense for string theory (whatever the prevailing definition is) to dominate funding for theoretical research of the "bridge". There are alternatives besides strings fo
7.
by joaorico 4y ago
Simpson’s paradox should be taken into account. If you group the population into only 2 groups: all of the vaccinated and all the unvaccinated, regardless of age; then the vaccinated had a higher death toll. But age is a hidden factor. The
8.
Noam Chomsky on GPT-3, Large Language Models and State-of-the-Art AI(youtube.com)
6 points by joaorico 4y ago|0 comments
9.
Online calculator: Estimating impact of food choices on life expectancy(158.39.201.81)
1 points by joaorico 4y ago|0 comments
10.
Norm Macdonald Live [all episodes](archive.org)
3 points by joaorico 5y ago|0 comments
11.
by joaorico 5y ago
Alain Connes, Fields medalist, talks about going on walks while reading math books in a particular way (and on how a mathematician works and should read a book) [0]: "To understand any subject, above all, a mathematician SHOULD NOT pic
12.
Amazon's top Graph Theory books are graph paper notebooks(amazon.com)
3 points by joaorico 5y ago|0 comments
13.
by joaorico 5y ago
In case you're interested in learning about graph deep learning, and are familiar with standard DL, I strongly recommend these two very good, recent books (freely available): [1] Graph Representation Learning - William L. Hamilton htt
14.
by joaorico 6y ago
The new edition has been split in two parts. The pdf draft (921 pages) and python code [1] of the first part are now available. The table of contents of the second part is here [2]. From the preface: "By Spring 2020, my draft of the se
15.
Probabilistic Machine Learning: An Introduction(probml.github.io)
310 points by joaorico 6y ago|56 comments
16.
by joaorico 6y ago
He has shared part of his toolkit, namely the exporting and syncing of the Bear notes, and “link-janitor” for the backlinks [1]. Although I wouldn’t recommend it in general - it’s a brittle prototype. And right now there are better tools ou
17.
by joaorico 6y ago
Right now, Andy is perhaps the most sophisticated thinker in this space sharing his insights and prototypes (meta-knowledge work, backlinked evergreen notes, spaced repetition, new UX/UI for these systems, etc). Here's some additi
18.
Harold Bloom Has Died(nytimes.com)
162 points by joaorico 7y ago|94 comments
19.
by joaorico 8y ago
I like these two quotes of Knuth where he lets us know how hard he worked. -- From this small interview [1]: "When I'm working on a research problem I generally begin by filling dozens of sheets of scratch paper with partial calcu
20.
by joaorico 8y ago
Here's Alain Connes, Fields medalist, on how a mathematician works and should read a book [0]: "To understand any subject, above all, a mathematician SHOULD NOT pick up a book and read it. It is the worst error! No, a mathematicia
21.
by joaorico 8y ago
Don't forget Gaius Diocles, the roman charioteer [1]: "His winnings reportedly totaled 35,863,120 sesterces, allegedly, over $15 billion in today’s dollars, an amount which could provide a year's supply of grain to the entire
22.
by joaorico 8y ago
If you are interested in learning about GAN, checkout GANLab, by Google Brain and others: https://poloclub.github.io/ganlab/ It's similar to tensorflow playground, but for GAN: https://playground.tensor
23.
by joaorico 8y ago
I think John Bell discovered his revolutionary Bell's theorems of quantum mechanics in a similar way. I can't find it now in a quick search, but I remember reading that he thought every physicist should devote something like 10% o
24.
by joaorico 8y ago
It's always going to take a few years. The global fleet is about 2 billion passenger and commercial vehicles, and the global yearly production is about 100 million. So even if all new cars sold from now are electric, it will take 20 ye
25.
by joaorico 8y ago
This is the most complete list of Alan Kay's talks I found: https://tinlizzie.org/IA/index.php/Talks_by_Alan_Kay
26.
by joaorico 8y ago
This is a bit of a strange article. First, "in his recent book" refers to his 2011 book [1]. And Christensen has been prophesying this general bankruptcy "in the next decade" since that time. [2] In any case it's in
27.
by joaorico 8y ago
Anders Ericsson has replied to this meta-analysis [1], which in turn got a reply from McNamara et al [2]. In Ericsson's opinion/definition [1], deliberate practice is "individualized practice with training tasks (selected by
28.
Five Ways Non-Profits Can Think Like Startups(blog.ycombinator.com)
1 points by joaorico 8y ago|0 comments
29.
To What Extent Are Growth Mind-Sets Important? Two Meta-Analyses(journals.sagepub.com)
1 points by joaorico 8y ago|0 comments
30.
by joaorico 8y ago
Pearl's words from the Introduction of "BAYESIANISM AND CAUSALITY, OR, WHY I AM ONLY A HALF-BAYESIAN": "I turned Bayesian in 1971, as soon as I began reading Savage’s monograph The Foundations of Statistical Inference [S

More ›