skysight-inc/HackerNews huggingface dataset:
mattlondon> "And the answer is always along the lines of "just try a load of stuff and pick the one that works best"."

Sounds to me like an opportunity to apply automation - Monte Carlo is your friend and machine cycles are cheap!

Most software development and ML development are diametrically opposed. That's why we have statisticians.

Most software developers like the control that programming gives them - that's why they are programmers. They prefer developing systems that can be programmed (trained) quickly, consistently and with rapid feedback using computer languages.

ML in contrast, is sort of like the claw crane arcade game at Walmart, you remember, the one where you insert 50 cents and then get to "control" the movement of a scoop for 10 seconds and then it drops onto a pile of possible prizes and, when you raise the crane, it drops the prize back onto the pile.

https://en.wikipedia.org/wiki/Claw_crane

If you're very lucky, you get a stuffed bunny or duck for your kid. Usually your kid goes away disappointed. There's something there but it's just beyond your ability to find it in 5 minutes. That's what ML looks and feels like but 50X worse. The ML training software has 50-100 knobs(you get to pick!) and the object of your desire lives in a multi-dimensional hyperspace. Find out how to use the knobs to reach your boss' goal. This is imo NOT a task for a software developer. And you don't even get a fuzzy bunny for your efforts.

Yes, the claw cranes are rigged:

http://kotaku.com/5929888/why-yes-those-claw-machines-are-ri...

And if you think that's bad, consider that much of AI-related ML is like trying to succeed with a claw crane designed by God (or maybe the Devil). It pays to choose your challenges carefully.
Unemployment doesn't work that way. Otherwise, eg Singapore would have lots and lots of unemployment.

Enough aggregate demand and a flexible labour market lead to low unemployment. (And on the flip side, a shortfall of aggregate demand can lead to recession and high unemployment.)

Central banks can with their fiat currencies these days can always print enough money (eg quantitative easing) to prop up aggregate demand, if they choose so.
Great library and have used it on a few production systems.
I don't think they'll do this. Not because it's technically infeasible, but because of their alternatives.

The Classic NES makes sense as a business strategy, because NES Virtual Console games don't really sell well: people don't think individual NES games on the Virtual Console are worth the money Nintendo wants to charge for them (~$5). So the Classic NES—a fancy, "value-added" shovel-ware package—is the best way Nintendo have to make money from that old IP. If people aren't willing to buy the games themselves, they'll still pay for a cheap bit of hardware with those same games on it. (Consumer psychology is weird sometimes.)

A "Classic SNES" doesn't make as much sense: SNES titles on the Virtual Console do sell, often for much higher prices. There's no business reason to turn them into a shovelware package.
Same thing happened to me (latest chrome/ubuntu 14.04)
Many investment firms heavily rely on Excel
I like documentaries where there isn't much narration/interviewing going on. They are also short.

Primitive Technology

https://www.youtube.com/channel/UCAL3JXZSzSm8AlZyD3nQdBA

I think this guy is most of HN's silent hero.

Two documentaries on working class skills approaching a true art form.

Ben's Mill

https://www.youtube.com/watch?v=l2KJbRHO76s

Sadly only part is available unless you pay a few thousand dollars. It is really good though. It's a guy using the raw power of water to create wooden objects for local farmers.

Glas

https://www.youtube.com/watch?v=KAYh0f1CPuc

A Dutch documentary on glass making in the '50s.

Three made for Television documentary series are:

James Burke's Connections. This is the first episode.

https://www.youtube.com/watch?v=e4tLYYXDg74

This series had an enormous influence on many of HN's older hackers. History, Technology, Philosophy, it's all there. One of the best television series I've seen, and I'm a millennial so it isn't just nostalgia. It is smart.

Carl Sagan's Cosmos. This is so famous I assume you've already watched it. Carl is scientist and poet. The recent adaption is a fair effort but the original is by far the best.

https://www.youtube.com/watch?v=6YgBXLUSsmg

Lord Kenneth Clarke's Civilization (1969!). This is the favorite documentary of many Western conservatives and reactionaries because it doesn't constantly caveat, qualify or diminish the history of The West. It is not shy about showing wickedness as well as greatness but nor is it politically correct.

Before I watched this it was quite hard to fully grasp the motivations of the right wing. After watching it I came to the view we have narrowed our view to a chronocentric interpretation of reality. This shows the grand sweep of history, which is admirable even if you don't agree with its worldview for political reasons.

https://www.youtube.com/watch?v=TDm4Sl6CdYU&list=PLFYDyLgHrF...
It crawls on my Chrome with i7
Or she didn't realize that what had worked for Obama, who's often cross that he even had to deal with the Congress, even when it was Democratic, and very famously went for a narrow but very deep Get Out The Vote (GOTV) strategy, wouldn't necessarily work for her.
While scientists will express their opinions of the data and findings of a study, the scientific method is not an op-ed piece. The great thing about science is that a study comes with a thesis, a description of assumptions, a discussion of the experimental design, data, analysis of data, and a discussion of the conclusions. Other scientists can check the work, both via peer review at the publishing stage, and by judging and reproducing the work after publication. If they believe there's a problem with the experimental design, they can describe the problem. If they believe there's something wrong with the data, or the analysis of the data, they can explain what's wrong. Or run new experiments that demonstrate what's wrong, and publish those studies in turn. This process does create a bias of sorts, but it's the right kind: a bias toward wanting to be shown to be thorough, professional, neutral, and logical in the drawing of conclusions -- and have one's work hold up to attempts at refutation by other scientists, including those with a strong desire to prove the conclusion is wrong.

If a scientist is biased by having an employer with an agenda, and that bias manifests in a study, then that study can be exposed as faulty by other scientists. That's how science works. So unless you believe a global cabal of thousands of scientists and their many different employers are all somehow coordinated in their unwillingness to judge each other's studies as flawed, you must give credence to the overwhelming support among scientists for the idea of anthropogenic climate change.

Likewise, if you believe the multitude of studies is flawed, then go ahead and show how. Pick any couple of dozen and have at it. There are plenty of employers with a strong and admitted bias against global warming (e.g. the oil and gas industry), and they employ scientists. If those scientists produce irrefutable studies disproving anthropogenic climate change, then that would become the accepted science, and those scientists would be viewed as luminaries in the field.

As for the cabal: unfortunately, many believe in exactly that -- including, nominally, President-elect Trump, who has stated climate change is a "hoax". I doubt he believes it's literally a hoax, but I don't doubt he understands that acceptance of the science threatens the bank accounts of those making money from the implicated processes. The same people driving the regulatory capture process, plowing money into congressional elections, etc. The real cabal is the force against the science.

There are so few studies leaning in the other direction that it should be easy to choose an "unfairly" discredited one and expose its field-wide refutations as illogical and biased.
9/11 allowed all this, next time let's not be little scared kids that hand away our freedom so easily for security. They are hard to get back, probably even need revolutions to get that back.

A decade and a half and we still can't shake this overreaction. "They hate us for our freedoms", so our representatives went ahead and took away our freedoms.

Both parties are responsible and we need to start being American over The Party of your chosen type. If you like a one party system and vote in line with it every time go to China, you'd fit right in.

Snowden is a hero as is every other statesman that is left that puts country over party. It is time to start helping this country not your party.
The framework, while polished, lacks any responsive grid components. A bit of a glaring omission imho, in this age of Bootstrap and Semantic-UI giving you a responsive grid out of the box.
I'm sorry I am from a working class background and know plenty of skilled tradesmen. In good times they get enough work, in bad times they spend a lot of time on furlough. It simply isn't true that we need millions of more people in the trades, the supply is meeting demand just fine.

Actually many highly skilled trades were absolutely decimated by the collapse of American industry: machinists, tool and die makers, boiler makers, to say nothing of all those plant supervisors and other blue collar management positions.

And it can and probably will eventually happen to us digital tradesmen too.
Hi all, I work at Palantir and worked on Blueprint (although I'm currently working on a different project). Happy to answer any questions you have about it.

Just a note - we didn't intend to heavily publicize the project quite yet. For example, the docs site is still a WIP, so apologies if it causes issues for you on mobile devices.
I see what you mean now, using like qemu or something. So "emulated native compilation". It is an interesting concept. Sorry for misunderstanding you.
That makes me sad
I'm not saying Stockfish isn't stronger than any human player (even the world champion), but you can't compare ratings in two different systems like that. Magnus has never played a FIDE-rated game with Stockfish, nor has Stockfish played any rated games with a human opponent.
This article is essentially blogspam: author uses phone for various random tasks throughout the day and still has loads of battery left.

Having said that and as the owner of the AscendMate2, part of my purchasing decision was based on this, more scientific, article:

http://www.anandtech.com/show/8031/huawei-ascend-mate-2-revi...

I am now entering 1.5 yrs with the HAM2 and it still impresses me everyday in terms of battery life. Occasionally I'll download a misbehaving app that (secretly) eats my battery life and the HAM2 suddenly has the staying power of a regular "flagship" phone from a major company. That app is soon vanquished from the device.

The Ascend Mate2 is not without it's compromises but for basic (non-gaming) work on a large screen... this low-cost phone is a real winner.
[1]. Default to action.

There is a maxim worth adopting.
There's an interactive animation in the header that really makes the page lag a lot when scrolling, spiking the GPU (look at the devtools, also scrolling is being tracked somehow)

This is a common problem with landing pages that promote things. Developers should pay more attention to optimizing the main page that promotes the libraries in question, as it can turn down potential customers ;)

I was looking at the other pages from this UI framework (docs), and they're not as near as heavy as the main page, so why not pay more attention and make the landing page lighter.

Other than that the components look very refined and worth taking a look.
Good rule-of-thumb to always add dropout. Very hard to lower the performance this way.

Yes, we have to try a load of stuff, especially in deep learning, where the old feature engineering seems to be replaced with architecture engineering [1].

Yet, the stuff to try is usually well-known [2]. You should not be trying stuff completely at random (unless you do a random gridsearch for hyperparams [3]).

> we chose 3 layers of 10, 15, and 11 nodes, instead of 3 layers of 10, 15 and 12 nodes!

Hinton advises to start with a wide net, ensure that the net is able to learn the function, then add dropout, smaller layers, and/or regularization to reduce the overfit. This should avoid scenario's like the above.

Wanting to have the perfect model for a specific problem mathematically calculated may be an unrealistic demand. If we view machine learning as compression (using the shortest program possible to describe a function/distribution), per Kolmogorov Complexity, we can't compute this shortest program, and if we happen to find it, we can't know we did. The maths is for theory. Intuition is for the practical application. See intuition more as guided guessing, instead of random guessing: with experience you should know what are the flaws and benefits of the different models and architectures for particular problems. You can limit your search to sane narrow ranges.

[1] https://smerity.com/articles/2016/architectures_are_the_new_...

[2] Finally, suppose you want to train an LDNN. Rumor has it that it’s very difficult to do so, that it is “black magic” that requires years of experience. And while it is true that experience helps quite a bit, the amount of “trickery” is surprisingly limited ---- one needs be on the lookout for only a small number well-known pitfalls. - http://yyue.blogspot.com.br/2015/01/a-brief-overview-of-deep...

[3] http://www.jmlr.org/papers/v13/bergstra12a.html https://people.eecs.berkeley.edu/~kjamieson/hyperband.html
It's not a satirical magazine, no. But Borowitz is one of the frequent satirical contributors to the magazine. Aside from this and the NYC-centric listings of events, it's a worthwhile read. Their long-form journalism is generally excellent.
Another complication, especially for newcomers, is the boundary at which to use certain algorithms. Questions like 'Can/should I just use an SVM over deep learning?' are also suspect to 'guessing'. Mind, it's this explorative process that makes ML so intriguing too.
> For some counter arguments see:

Personal experience - every single bag I get from the grocery store is used again to dispose of garbage. Doesn't everyone do that?

Making me buy garbage bags is much more wasteful.
I also, perhaps a little surprising (but not really), found that it reduced my own stress as well.
As xenophobia I meant fear of strangers in general.
What you listed really sounds like you should have a farm.
Those things in residential areas are unavoidable.
You really don't need a boot camp to learn coding. I would stay at your job and learn on the side.
The article didn't explicitly say so, but this is counterposed by urban liberals who commonly admire professionals (thinking that they possess valuable expertise that should be respected) and are suspicious of the rich (thinking that they likely became rich by exploiting people, by doing something unethical or illegal, or through cronyism).

It's not exactly the same cultural contrast, but I remembered this thing that David D. Friedman wrote back in 1995:

http://www.daviddfriedman.com/Libertarian/My_Posts/My_View_o...

> I have been arguing politics for a long time. In arguing with people on the left, I find it is very hard to come to an agreement on the assumed facts surrounding the situations we are judging. My imaginary capitalist has capital because he worked hard clearing part of the boundless forest while his employee to be was being lazy and living on what he could gather—so it is entirely just that the capitalist gets part of the output of his land and his employee's labor. But the leftist doesn't like that hypothetical. His imaginary capitalist inherited his capital from a father who stole it. I don't like that hypothetical. I conclude that our moral intuitions are similar enough so that the same assumed facts push both of us in the same direction—and since we want to go in opposite directions we want [to] assume different facts.
There are many hidden powers governing a lot of things, but the world is simply too large and complex for any single entity to truly control everything, even a global niche is difficult to grab and even harder to keep.

It's kind of comforting, in a way.
You're starving to death because it's not your wheat.

You go to the bakery and offer your shiny new breadmaking education and they say "sorry we got all we can use."
Worth discussing: Positive association between altitude and suicide

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114154/
If you are overloaded with email, consider the workflows which are putting so much in your inbox.
FPTF is definitely awfully. STV might be marginally better or not. But why settle for something so marginal and still clearly suboptimal. It's also complicated to explain, yet alone count votes.

Approval Voting or Range Voting are much simpler to explain and to execute, and they have much better properties. (And, yes, I can well believe that the Australian system can be improved up on, and doesn't present the best version of STV. There's lots wrong with Australia, so this aspect probably too. Eg, their STV system requires a valid ballot to rank all parties, making sure that every vote cast will eventually be counted for one of the major parties. The guy who came up with a hack to avoid having to choose a major party got jailed for promoting it. See https://en.wikipedia.org/wiki/Langer_vote)

Range Voting is literally the same procedure people know from figure skating competitions in the olympics: the judges (=voters) give the candidates numbers, candidate with the highest average wins.

Approval voting can be explained as: just like FPTP, but ticking multiple candidates (eg everybody but Trump or Hillary) doesn't void your ballot. (Or you can see it as a special case of Range Voting, that only allows the numbers 0 and 1. Approval voting was my favourite system to elect a single winner, until I learned about Range Voting.)

The range voting guys wrote about STV, too, see http://www.rangevoting.org/rangeVirv.html
2016 and igpu performance is still bad compared to dedicated. With browser rendering supporting GPU accel these days, I'd still never spend money on a computer without dedicated graphics, even for productivity.
I can't see a system where processing is done remotely as working very well, nor is it very necessary as the hardware requirements shouldn't be that high. Training could definitely occur in a data center, but that is done offline.
> Those things in residential areas are unavoidable.

This is not my experience. Even in urban areas I've lived places that are not like this.
Upgrade to PC and Windows.
Well, you could use something like Reactstrap (https://reactstrap.github.io) which assumes Bootstrap classes, and simply not include the BS4 visual styles/themes
Suddenly? Where do you draw word that from?

I referenced the fourth amendment, which seems not-so-sudden to my naive (read: full of hubris) self.

Methinks thou dost protest too much.
That is one way to end up with too much to do.
Why would secondary cities be an issue ?

They seem big enough to incentivize mapping costs.
Are you living in a world where people are incapable of preplanning their actions in order to intentionally cause a downward correction in the stock, so that they can later sell it for a higher price and make money this way? Talk to the SEC and see if they agree with you :P
You aren't responding to what I actually said.

I didn't say medications doesn't help some people.
I didn't say medications don't help ever.

I did say that medications can't cure depression.
You try opposing people that have all the blackmail material and power they need to ruin you or anyone you could ever love. Look what happened to Hillary with an incomplete email dump. They have every email anyone in this thread has ever sent, at least in the last decade. Anyone who's been elected in this country. Even encrypted ones which they may know how to read or may soon. So don't threaten them unless you're ready to be ruined or you somehow have a tremendous army.
Real life consists of interdisciplinary subjects and requires interdisciplinary learning. What's the value of picking things apart and studying "science" and "math" and "literature" in isolation?

In the world around us, these subjects are intricately tangled together. Awareness of the relationships between these subjects makes the world interesting and is one mark of a well-educated person. Isn't it impressive and fascinating when someone can speak on the co-evolution of math and science, or the impact of literature on history?

In my experience, interdisciplinary study offers an abundance of opportunities to get at "the how," whereas single-subject study prioritizes "the what."
I haven't been able to verify the Syria link to the Lockerbie bombing. Anyone able to help me out?
I definitely believe the guy was in the wrong here, but what would have happened if it were a leftist harassing Trump supporters?
I watched this after it was last posted to hacker news. The footage from the BBC archives is excellent and the narrative it strings together is compelling. Any other books or movies that expand on similar topics?
My network blocked this site because it contains malware. Enough said.
It's not really related, but it reminds me of this joke about buying cars in the USSR as told by Ronald Reagan: https://www.youtube.com/watch?v=CLW7r4o2_Ow
> Americans handed the U.S. presidency to a racist, xenophobic, authoritarian, climate-science-denying, misogynistic, revenge-obsessed ego-maniac

Ah yes... the scripted narrative continues. George Soros, the global terrorist, must be proud. I stopped reading after the HuffPro-colluding nonsense written above. Good job reaching out to a different audience./s
Just having the page open kicks my CPU to 4.6 GHz and I can hear my fan going crazy, Chromium 56. Doesn't happen in the documentation or checking the examples.
How so?

I am simply saying while the chef who has been cooking with gas for the last eight years is still on the clock, why not ask him to write the prep list for the next shift?

I never defended mass surveillance, or advocated for any defense of it other than to cite how we are protected by the 4th amendment and our "unalienable" right to liberty as defined by the Dec.

Would you care to elaborate or are you simply trolling?

edit: I presume from the downvote that the latter is true. Oh well, so much for spirited debate.
Considering you wouldn't be able to move or take in any new light, sound, etc it sounds pretty boring. Dark stillness.
Didn't they add "snooze" button in Gmail recently?
If you can provide a source showing either that a deficiency of medication is the cause of depression, or that medications do cure depression, then I will provide a source.
That is about it. Only need to add the actual data quality that matters, too: I often get a ton of junk to work with, which is partially useless. And the difficulty isn't just "algebraic debugging", but embedding the whole pipeline in a way that won't blow up or grind to a halt the it's used in a production environment, especially during peak loads when "everybody is looking" or when a new semantic event type happens.
ARTFINDER:+Much+Ado+About+Nothing+by+Lee+Clement+
The desire to extend your life at the expense of other people is incredibly disturbing to me and I'm not sure how it's a defensible position.

They'll be getting some burrito money in return. So don't say it's not a fair trade.
Looking some more, the closest I can find are some "Data Science" bootcamps (like Insight and DataIncubator). But they require PhDs.

So yeah, maybe the only way it could work is if you already know it. They just give you a refresher and find you a job.