skysight-inc/HackerNews huggingface dataset:
Moderators, please change the title. It is extremely misleading. Here's what the article really says:

"Ngoc Sinh has been certified as safe by Geneva-based food auditor SGS SA, says Nguyen Trung Thanh, the company’s general director."
"SGS spokeswoman Jennifer Buckley says her company has no record of auditing Ngoc Sinh."

In other words, Bloomberg is accusing Ngoc Sinh of having disgusting practices and lying about being inspected, which is a crime, while the title is instead accusing the inspectors of not doing their jobs, which would also be a crime but with a different party accused.
FxCamera: Free Android Camera App, 20 million downloads worldwide
FxCamera: Free Android Camera App, 20 million downloads worldwide
FxCamera: iPhone App: Soon to be Released<p>Oct 16, 2012<p>Minato-ku, Tokyo. (October 16, 2012) - As the central office located in Tokyo, Minato-ku, Bitcellar, Inc. (also known as Bitcellar) is a company that operates Free Android Camera App known as the FxCamera (http://fxc.am/). We currently hold a cumulative total of 20 million downloads showing a fast and popular growth amongst users.<p>FxCamera is a free and easy camera application that allows anyone to take creative photos using various effects such as: toy camera, fisheye, and symmetrical anywhere at anytime. Not only is FxCamera App used in the Japanese market but also, is in high demand throughout other countries from North America to the East Asia region; centralizing in 225 different countries and regions.
After its successful renewal of the Bitcellar’s FxCamera in June 2012, this App has reached Top 5 in the Photography category in Google Play amongst 35 countries and has ever since increased the number of access rapidly.<p>Currently, Bitcellar’s service is imminently provided in the Android market but because there were positive demands from our users, we are looking to broaden our spectrum to iPhone users as well.<p>Bitcellar aims to create and expand accessibility for the public as well as to achieve an increase in the number of users. To do so, we will continue to further enhance our camera function, strengthen economic partnership through social media, and create a new iPhone App.
Sounds like we need to all work together.
I don't think the issue here is whether this works or not. The point is that there aren't enough devs. That several programs like these are starting, and that companies are willing to hire, gives you a glimpse of the demand for developers these days.

I believe this trend will continue in the near future, and people with the capacity to become hireable programmers will transfer from other professions.
Why not Google Calendar?
> Why do people love to act like both parties are the same? Is it just errant, broad pessimism?

On the contrary, it's not necessarily pessimism, the people who feel that way are probably just rather focused on the issues where the candidates are depressingly similar. For example if you want to see military spending massively reduced, the financial system reformed in fundamental ways to reduce systemic risk, or massively increased gasoline taxes to cover infrastructure improvements or green energy development, you probably feel badly served by both parties and their candidates right now.

On the other hand, if you're a gay man who wants to get married and start a family, or a redneck who wants to be able to carry your .357 magnum wherever you want whenever you want, or a rich guy who wants to keep your taxes as close to zero as can be achieved under the current two party system, the party differences are rather more obvious to you.

It's not really a question of pessimism, just the way people prioritize things. A person who has a lot of strong interests in the first category of issues (where the parties are rather similar, or just similarly useless) might be a lot more likely to say the parties are the same than a person whose strong interests are in the other set of issues.
I think the best thing is to cultivate some perspective, and not hold the political system to unrealistically high standards.

We live in a 236 year old democracy of 310 million people. Let that sink in. We have more people than there are lines of code in an entire Linux distribution. Think of the complexity of a human being, over a human being's lifetime, versus a line of code. We're an incredibly heterogeneous, diverse country that has never agreed on anything, not even on our founding documents.* We are, by virtue of our post-WWII status, the de-facto political and military leader of the world. We're the world's largest economy. We're the world's reserve currency. We have all of the responsibility that comes with that status.

We do not blink twice when we hear of a company like Yahoo (14,000 employees) or Nortel (86,000 employees at peak) becoming unmanageable basket cases. Yet we rail on the President for not getting more done than he does! We forgive Windows for being layers upon tangled layers of bug-for-bug compatible code, but complain endlessly about the complexity of a tax code designed to regulate 300m people acting together in a $15 trillion economy.

I am of the opinion that too many people, especially engineers who maybe have a particular love of simplicity, simply expect too much of the country they live in, and as a result become disillusioned with the whole system.

It is my opinion that these expectations are unreasonable and counter productive. The fact of the matter is that the US government is a paragon of virtue and efficiency compared to most others. Some of the western European countries may have better governments, but they also have far simpler and more homogenous societies to govern. We certainly have a better government than most any country in Asia. China, which has no particular love of anything American, has spent the last couple of decades trying to model their legal system after America's. Think about that: something that most Americans consider to be a broken part of our society, is a model for a country looking to cement it's place among the world's great societies.

So if you're frustrated by the system, take a step back and appreciate the fact that it probably doesn't get any better than it is now. As I've gotten older and this realization has sunk in, I have found politics far more enjoyable.

*) The more you learn about the Constitution, the more you realize it's ridiculous to ask "what does the Constitution mean?" The 40 signatories to the Constitution had 40 different opinions about the meaning of the document they were signing!
I think part of the incompetence has to do with what talented engineers want to work on. Most of us here on HN would never dream of writing mundane business logic software for a bank. Why would we, when we could be working on much more interesting problems, while earning a lot more money, working in a much more stimulating environment? This leaves mediocre programmers who can't get jobs at {Google, Facebook, Microsoft, Amazon, Startup X}. Talent goes where the money is, and the money is not in writing a bank web service.
Well written, but I believe you missed the point of the original article.

No one ever claimed that taking one class made someone an expert "data scientist." Instead, that single class wetted Luis, Jure, and Xavier's (the three competition winners) appetites, and pushed them more to learn more about machine learning and natural language processing. They then went on to dive much deeper, and excelled specifically in one area of applied NLP.

However, without that first class, there's a good chance none of them would have ever focused on (or heard of) machine learning. Their story is growing increasingly common. Like the Netflix Prize, Andrew Ng's first Coursera class did its part in shining a spotlight onto our dark little corner of the universe.

I'd be very cautious about a long checklist of items that are necessary to be a successful data scientist (which is a pretty ill-defined and encompassing term at this point). That is a decent summary of many useful tools of the trade, but they are by no means useful for all problem domains. For example, I could spend years working on machine learning for EEG brain-computer interfaces without a good reason to use databases or "big data" NoSQL technologies. I especially enjoyed MSR's take on the matter in "Nobody ever got fired for using Hadoop on a cluster" http://research.microsoft.com/pubs/163083/hotcbp12%20final.p...

When we're hiring data scientists or seeking successful ones, we've found focusing on demonstrated excellence in one relevant area plus general quantitative competencies and the curiosity and tenacity to learn new tools and techniques works far better than a laundry list of skills and experiences.
That might be also the end of DMCA. If anyone figured out that they can abuse the system, the hosting company may receive enough requests that it can go out of business and instead not comply until the sender take more serious legal action.
So is there a good middle ground between being a web developer and a data scientist? If so what would be the most useful problems for such a skillset to solve?
I have to really thank you for this article, but it may have had the opposite affect on me. I've always felt like I have a disjointed skill set, but this makes me a bit more confident in looking into this field and it give some good ideas of what I should brush up on. I know this may not be what the author intended, but it's appreciated never the less.
Even after the event for DMCA notices that are clearly incorrect or bogus or malicious?
Early adopters are the gunpowder that projects such uh, projects, up to higher places. You did a lot of good.
Startup jobs are not for the weak hearted
Another possibility is the non-CS crowd on HN might be bigger than is generally assumed. I'm an ECE undergrad, though the programme at my school skews to EE rather than CS. Our compilers course always felt like an afterthought, with implementation being entirely at the instructors discretion. We mostly just drew a bunch of state diagrams :-)
And... NUS wins!
Path update brings Facebook, Instagram import feature to existing users
being a good data scientist is about having enough intuition about the dataset to ask the right question aka form the hypothesis.

working out the question is what makes it a hard(and creative) process, and then you can apply your ML toolbox.

edit: whats different from a data scientist vs analyst/statistican is they build their own tools as the datasets are too massive & non-standard for the usual toolset.
Net worth after an IPO is not the same as a compensation package.
I'd love to see something like that.
What supposed to be a rant turned out to be a nice little list of things worth learning in data analysis field. Thanks!
Wtf? Sure, making a decent VM that can actually do something is no empty feat, but that just means that he's not only a designer but also a programmer. It's not like you're stamped "designer" on your forehead at birth and that's it, you know.

I have a friend who can code and bake excellent pie. Amazing!!
Probably doesn't help you if your using Android, but on iOS, the Agenda app is quite nice. Prior to that I used Easy calendar and Calengoo.
While it is not easy to become an expert in any field or pursuit, one should neither overplay the "it is a very hard field / not very easy" argument nor should one underplay the effort involved in becoming good. 10000 hours (equates to roughly 5yrs at 40hrs per week) to expertize seems like a good rule of thumb to keep in mind. Someone said - "The test of a vocation is the love of the drudgery it involves."

For any field, one has to provide positive encouragement (and a good platform/set of tools and techniques) to people seeking to get into that field, while being grounded in reality.
Once you understand that Scala is a hybrid, all those not-pure FP aspects start to make sense in that context.
Hi jonemo,

I spoke to the guys here and your contest was indeed a special case. It's true we're not flexible enough to put two people traveling from different locations on a single ticket/contest. But as you rightly pointed out, your comments should have sufficed.

The second mistake on our end was misreading the issue and the third was our new refund process, which unfortunately had issues during your refund. This isn't an excuse, but your case really was a series of unfortunate events that ended up affecting the same person, you.

In addition to the refund, I believe we also offered a free contest to win you back.

All of that aside, we're trying our best to deliver the highest quality results. It's not easy on a 2-sided platform, but our efforts are paying off. Every day we save people $1000s; that's not a soundbite, we really do. We hold these 'showcase' contests as a bit of fun for our experts and also to prove out business hypotheses. Every now and then, a couple of contests like yours slip through the cracks, but we do everything we can to re-gain your trust.

The last thing I want to clear up is your suggestion that we don't do complex flights. That's simply not true. Your case was unfortunate, but it wasn't really a complex flight. We do much much more complex itineraries involving frequent flyer miles, pets, unusual luggage, etc.

Again, apologies for the poor experience and we'd be more than happy to pay for future contests to regain your trust.
Fear not.

No, the Ivy League is not a hard requirement. I know two people off the top of my head that graduated from a school ranked > 100 that both now work for Apple. (Compared with say, Stanford, whose rank is tied at fifth in the 2012 US News rankings)

There are a couple details:
1. They did not immediately start at Apple. Both worked elsewhere for 2-4 years at other locations. (Places that were less than the Google-Amazon-Apple tier)
2. They both were ridiculously hard workers. Like every second I knew them, they were working. Are they cooking dinner? Oh OK, while something sizzles they would turn around to the laptop and write either half of a line or one or more lines of code.
Here's a start: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/b/... doesn't include technical reports though.
Absolutely agree, also author didn't take into account that there are software engineers with good math background who don't know how cool it is to do machine learning. I'm one of them and I've spent last month and a half doing a lot of ML and enjoying the heck of it! My next step is Kaggle.
The reason that google punishes paid links and link networks is that incoming links are a huge component of pagerank - if these weren't punished, it would lower the quality of their search results.
These are not fractals. Fractal-like at best.
Could you point out some of the projects that have those beginner type lists? Could be useful as a starting point.
Why Spotify is worth $3.5Bn, or even more
Brain’s language center has multiple roles
Apologise, as I was not more precise in my data. But, in this case, most of Sandberg's net worth was from her compensation package at FB as COO. [1] It was really more for order of magnitude: $60 vs $1,500. You could cut that in half and divide by ten and still be 25% higher. When you think like this, the fact that packgage $60M is 100x $0.6 salary gets lost in the shuffle. =D

_________

[1] In 2009, FB was $10-15B company. She had some money, though, from google as well presumably.
"I'm left with no alternative. "

How about Firefox (I'm running 15.01), and Firebug?
What do you use to check the SEO of articles you post?
Hi everyone, what are you currently using to check if the articles you post for content marketing are perfect from a SEO point of view?
No problems! If you have any questions, feel free to email me james@atlassian.com
Rasmus, since you're reading this thread, I'm curious. If I understand correctly, you did the Spotify brand and looks as it stands. My compliments! What, then, has convinced you to move to a large and very much designed-out webapp like Facebook? I mean, it's not like the Like button and the blue Facebook bar weren't there before you came - this suggests that you downgraded from setting up an entire brand to doing a page here and a button there. But I bet that's not the case, because in that case you wouldn't have gone, right? Note: this is not criticism, quite the contrary: I can't imagine what Facebook has competent designers to offer and I'd like to know. (I wondered the same when they acqui-hired the Amsterdam design consultancy Sofa)
I ordered 4 today from Element 14, for a project I am working on. I was joking with a friend that I expected that they would ship them in 2013 sometime. And then I got a UPS tracking number in the email later the same day. My jaw is dropped.
I've come to see people saying that as "they are the same in areas I particularly care about." Now, what those similar areas are, is usually the same. Corporate influence. (Usually, anyway. It can change.)

The importance of those similar areas to other people is unaddressed in this concern. Key is that the opinion holder see this as a larger issue in their, or everyone's lives, even if others (you, me, anyone) may disagree.
Because — as in Erlang — the semicolon is a separator, and the expression's value does not go through it? So the type of `a` is A, but the type of `a;` is Unit.
I'm not a fan of Firebug and I don't like Firefox's text rendering.
In my Mac you can't. 10.8.2

If you choose “Use WebKit Inspector” Opt-Cmd-U does nothing.
Golden-ratio.el - Automatic Resizing of Emacs windows using golden ratio metrics
I'm an advocate of a hybrid between your #4 and #2. People can vote on most issues directly, with the ability to delegate particular issues or categories of issue to a number of representatives, ideally experts in their respective fields. The delegated authority can be issued or revoked by each voter at will, as many times as they want.

Unfortunately, this wouldn't solve the problem of media controlling public opinion by what they report and advertise.
I think you made the right decision about 'return'. btw, if you're also changing 'alt', why 'match' rather than something more familiar to C programmers like 'switch'?

Also, did you consider pythonic 'and' and 'or' keywords? Typing 'or' requires fewer keystrokes than || (and 'and' requires no more than &&). Plus, neither requires any shifting! I know Rust developers are lazy typists. ;)
Branches in git are just pointers. If two branches point to the same commit, they're the same branch.
If you've built side projects before, post them here! I'll start:

- http://patternify.com – A pixel pattern generator that produces CSS Base64 code (made with jQuery)

- http://thetoolbox.cc – A directory of useful web apps and tools (made with WordPress)
A couple reasons not to do this:

1. Your frameworks are out of sync with the the rest of the system, could cause problems updating.

2. You're now running super-buggy development WebKit. The code you're using was written a few hours ago, remember that.

3. The old WebKit inspector doesn't have retina support. If you've got a rMBP and care about how it looks, don't do this.

4. The article gives no information on how to go "back" after you've done it.
The only reason I jailbroke(?) my 3gs was so that I could use an app that allowed me to adhoc wifi because they wouldn't (even though they could). Would it be fair of them to lock me out?
I still think you're projecting your cultural context onto people with a different culture. If it was all about insecurity they'd react the way Christians reacted to "Piss Christ". But they don't, do they?
The Best Colleges For Your Bank Account
Yes, yes, it's not like you started from something. Were you born data scientist? Just try to accept that there may be people with almost full skill set who didn't know where to apply it? I'm pure mathematician by education and I really didn't know where to apply my skills, having followed ML, NLP, Big data, PGM courses I have much better understanding now.

Now even if I weren't a mathematician it doesn't mean that following Coursera courses for a couple years and doing a lot of work at home wouldn't get me somewhere. You don't have to switch jobs as soon as you finish ML course but you can certainly practice your skills at home.
What Sushi and Startups have in common (reblog)
FxCamera for Android Announces 20 Million Downloads, iPhone Version on the Way
In git, I would create a seperate repository for each project. No need to mix up history of several projects into one repsository.
It's like what people have been saying for years...

PayPal, three things you need to work on: customer service around people's money, better api docs, and above all, a brand new homepage
Then show the statistics, please? I agree that most women will be hit on by unpleasant people now and then, but I mean serious stuff (career changing stuff).
Branching in SVN is not cheap. It basically has to copy the entire directory structure into a new subdirectory (branches directory).

In git, it just creates one file with a 40 byte hex.
The more you learn about the Constitution, the more you realize it's ridiculous to ask "what does the Constitution mean?" The 40 signatories to the Constitution had 40 different opinions about the meaning of the document they were signing!

And yet, it is the oldest working constitution that still grants rights to its citizens rarely found elsewhere. It has provided for our prosperity for over two centuries. Whatever it means, it means well.
Yes.

And if you're an investor then I know one of them is currently looking for funding. That one is based in London and has started with web accessible data that can be scraped and then storing that data to specifically create trend charts. If you want to know more or are interested in trying their software get in touch as I can introduce you via email even if they don't want to be outed on here.

I'll ask all three whether they would mind being outed, all are currently flying under the radar and are below 6 months old.
Maybe I'm mistaken but I think most of the people interested in becoming 'data scientists' are either currently doing lots of software with an interest in stats, or people doing lots of stats with an interest in software. Given one or the other half of this list is probably already very familiar territory.

I actually found this list encouraging because the things I don't know well on that list are things I'm working on and am aware are holes in my knowledge.

But in the end the reality will always be that the people who are "real" data scientists will be the people that are actually solving real problems whether or not they can check off every bullet point on a check list.
You have reached the end of the Internet (German)
Yes, that's mostly it. Ugly toolbar and address bar, can't use built-in dictionary, slightly worse text rendering, etc.

Oh yes, and if you want to grab the window, you have exactly 11px for that. Try it after lot's of coffee.

I find Chrome beautiful on Windows. In full screen, it's a natural fit, one of the best Windows apps. But on the Mac, it annoys me and hurts my eyes.

And I know it's old fashion, but if you are among the 0.5% of the population that can actually distinguish a URL from a search query, you are out of luck.

PS: if you do find out the theme's name please post it here, thanks.
From http://en.wikipedia.org/wiki/Fractal

"The mathematical concept is difficult to formally define even for mathematicians, but key features can be understood with little mathematical background."

I'm not even sure if saying that something is fractal-like doesn't make it fractal? One of fractal properties is self-similarity. Thus if you say that it is similar to fractals doesn't it make it fractal?