skysight-inc/HackerNews huggingface dataset:
Billions is actually based on Steven Cohen and his hedge fund, SAC Capital. It was bumped down to a family office for insider trading, and subsequently rebranded as Point72.

Aside from basic inspiration, the plot bears almost no resemblance to the actual hedge fund or Cohen himself.
Renders TeXy Math for GitHub Readmes
Introducing BeeLine Everywhere
Top 71 Digital Marketing Influencers Scientifically Ranked
Why can't those living in Europe also buy index funds? You don't have to be US citizen to buy them?

There are currency hedged funds if that's an issue for you.
Please don't conflate sets with algebras. Strictly speaking the tuple (R^2, +, ·) (where · is multiplication by a scalar) is a linear algebra over R, R^2 is just a set.

Now I know mathematicians often refer to spaces by their underlying set, but the notation G^2 doesn't really make sense (for starters R^2 = R x R, what is G?). Calling it the Geometric Algebra over R^2 would be fine. You can even refer to it as just R^2, as long it's clear that you're using the geometric product (and what metric you're using).
June, is a startup working to make the communication between employers and candidates more easily accessible.

http://www.joinjune.com
I enjoyed it. Doesn't go in-depth about the flow state as the original book. More 'purpose of life' material. The author is a philosopher as much as a psychologist. I sensed that in the original, and this drove it home.

Nice thing is its compactness. You can burn through it in 2-3 days easy.
We have the system we have. The rules have been laid out for centuries. According to our system, the will of the people is determined based upon electoral college votes of individual states. Clinton strategists knew the rules, and they lost by the rules. Don't go trying to move the goal posts after you lose. This whole argument is yet another attempt to dismiss the opinions of a huge segment of the population, and is exactly the kind of stuff I was referring to as a reason you lost.
Thanks for sharing!

Two points I'd underscore: it's important to take risks to reach the inclusivity goals the organization sets, and a few individuals can make a huge difference in that commitment.

I was the leader at Gaza Sky Geeks when we decided to bring our women's participation rates to 50%. Part of what we did was require 50% women's participation at our main outreach event (a Startup Weekend at the time). That's the top of the funnel - whatever our women's engagement rate is at that stage, it'll either stay the same or drop after that (if there's bias at each selection stage against women, as founders enter incubation, then acceleration, then follow-on investment)

Some of our staff and partners disagreed with this strategy: only 30% of applicants to the outreach event were female, and their applications were indeed often worse than men's applications. Quite honestly, the main reason we stuck to the goal was because I put my foot down and said Gaza Sky Geeks would only run the event if we all committed to 50% women's participation.

What happened next? Women outperformed men at the event, winning most of the prizes. That was all organic - and if anything, we had expected the judges to be biased towards men.

The following year, we again had the same debate with our partners and our team, and again I stood my ground for this.

That's explained in this video: https://youtu.be/vJnRy8jcac8 ("How Gaza's startup community became one of the most female-inclusive in the world")
<strike>I can't really help you on bank API's</strike>. My bot uses webdriver.

Actually I can help with that:
https://openbankproject.com/for-developers/
Vector.im was much better - I don't really get why they changed it.
Launch mode vs. iterate mode
I would construct a list of invariances that a classifier should be robust to, then construct (either empirically, analytically or via a machine learning algorithm using a synthetic dataset) a series of features that are invariant under these transformations. This is sometimes called "fingerprinting" and Shazam uses something like it to look up audio. I'm sure there are many specific approaches described in the literature.

I would then use these features to identify videos that have the same content as these already reported - pick your favorite clustering algorithm. This would ensure that for a single copyrighted video being reported all plausible manipulations that fall under the model are also discovered.

Point being, this is something that could be implemented in less than a month or two by an individual or small team. If Google hasn't implemented it it's because they don't want to, not because it can't be done.
On Engineers and Technicians
That Apple saga was quite an interesting view into American politics. If you ask me, Trump and a lot of the government is out of touch with Privacy rights. The opposite battle is taking place with free speech in Canada[0], with the government wanting to curtail free speech in the name of preferred pronouns referencing gender. In both cases, the Government wants to harm free speech, but I think many people who are against it in Apple's case would be for it in Canada's. I could be wrong though.

[0] http://www.bbc.com/news/world-us-canada-37875695
Love the logo :)
If you care that much, just run your own OS. Many android phones have quite a few options available.
No matter how many times you say that this situation is "literally the definition of debt" you're still not going to the legal definition of debt so that it applies here. Equity is not debt, they do both until eventually owing another entity money. But in a legal sense that is not literally the definition of debt, because it is also part of equity which again isn't debt.

From a practical perspective the difference is that with equity you accept a lower floor (you might get nothing) in exchange for a higher ceiling (your invest might 100x if the company goes public). That's the deal these investors signed up for and unfortunately for them they got option number 1. They're not owed anything because that's the deal they agreed to.
Lol true
Naming directories seems like an odd choice. Sounds like aliases?

I definitely use aliases for multiple frequently accessed directories.

`kdev` takes me to my work dev folder, `wpdev` takes me to my wordpress folder, etc.

But I definitely see the points parent comment to yours made.
How to interview your customers
The eradication of your "toy" languages will happen far sooner than Java.
GiveCampus (YC S15) looking for great Ruby engineers
We build fundraising software for educational institutions, and are looking for great engineers who want to build out the next suite of tools all schools will use. We're growing at an awesome pace, and now need more motivated engineers to help us build out the features and products schools want!

You can read more about what we do, and how we do it, in The Washington Post (https://www.washingtonpost.com/news/grade-point/wp/2016/04/1...).

Who we are looking for:
- 2+ years in a professional engineering role
- Ruby and Rails expert - Comfortable working on the front-end and back-end, but skews toward the back-end.
- Enjoys building new features, from idea to supporting it in production
- Passionate about education

We are also hiring for multiple roles in business development, from Business Development Associate, to Sales Executive, and Partner Success Lead. You can read more about them at https://www.givecampus.com/careers to see if any fit your particular skill set and interests.

We are a team of four, and are really excited to bring high tech to the education space.

Please email careers@givecampus.com with your resume, any past projects you're proud to show us, and a note about yourself to apply.

We are based in Washington, DC, and are looking for people here, in the SF Bay Area, or someone who wants to to move to DC.
> The relationship is wrong if you feel indebted to your investors and like they deserve thanks. They are partners in the business.

Plus, they knew the risks. There is no reason to feel sorry for early-stage investors who lose money unless some kind of fraud was perpetrated on them.
p/e on these sorts of "gonna take over the world" sort of companies can be astronomical. certainly more than 35.

i wouldn't put much faith in uber's numbers now. they aren't trying to make profit. they are trying to grab marketshare.
While we don't know what and how much metadata OWS servers keep, we must understand that too much metadata can still be a very bad thing that can enable a 3 letter agency to discover things about users.
I think the appearance of "Hadoop" and Spark in the list of languages may be a clue as to the utter bollocks being talked here.
Nitpick: the Arduino hardware design is copyrighted, but released under a CC license.
It's not responsible at all.

Flipping out about the nomination of Wilbur Ross, for example, as Secretary of Commerce detracts from the weight of legitimate arguments against many of Trump's other picks.

To many journalists' credit the reaction quickly quieted down once his record and character become more clear, but first impressions are sticky. Now journalists and pundits, especially liberal-leaning pundits, will find it that much more difficult to constructively criticize Ross or other officials in the future given that it's established that they wrongfully flipped out in at least one significant case.

You make fewer of those mistakes when you stick to concrete facts and concrete policy points. And it goes without saying your arguments will be all the more sound for it.

Yes, Trump's rhetoric is anxiety inducing, and there's plenty about his track record, including as president-elect, that evidences he's willing and capable to follow through on much of it. But there's also evidence he won't follow through on some of it. If he doesn't then he can claim people were crying wolf. He probably will do this strategically. Certainly his rhetoric is strategic.

Unfortunately we won't be able to get off this roller coaster for at least 4 years. But that doesn't give everybody carte blanche to start screaming their heads off right out the gate.

Look, plenty of other countries have had to deal with, and are dealing with, demagogues. We know how to do deal with it. Keep your heads on straight and stay vigilant.

Anyhow, if people are right about Trump, there'll be plenty of opportunity for [more] outrage. If there's not, then all the better.
"startup aiming to build a sustainable SaaS "

This is the key piece of information based on which I will give you my advice. If you know Python and use it already, then go build it in Python.

If you do grow to that level of scale, python will be the least of your worries. You will figure it out then. Just build in python and release the damn kraken.
Yes, and there's another inconsistency here as well. Arrays and pointers into arrays are accessed with the same syntax:

char a[3], *pa = a;
... a[0] ... pa[0] ...

In contrast, with a struct, you have to know which one you have and use the correct operator:

struct { int x; } s, *ps = &s;
... s.x ... ps->x ...

To be consistent, they could either have made '.' work in both cases, or forced you to write things like '(*pa)[0]'.
There may be other fields where that isn't as true, but bands albums aren't one of them; bands relations with labels and producers, etc., have much the same as authors with publishers and editors. Basically, once their name is going to make the sale on its own, other people in the production chain are less likely to say no.

OTOH, I think that quality of work (judged, as it always is, by subjective appeal to some critic or set of critics) with constant skill has considerable variation in most artistic endeavors, and what makes a name is usually not the kind of work that most people can turn in day in and day out. Saying that skill goes down after someone becomes famous is, I think, a lot like saying people's skill at the lottery tends to go down after they hit the jackpot.
Yes, that's right! The way you are using supervised learning here will force the neural networks to map from textures directly to human labels. A purely feedforward network, no matter how deep, can only rote memorize the effects of the world on the images (viewing angle, lighting, etc) and will not generalize.

Another shortcoming of feedforward nets is they cannot change how they interpret local features based on integrated global aspects of a scene, like ambient lighting or backlighting.

As a result the network will fail to classify on new real world images.

If instead you use recurrence to learn features that take the dynamical and global effects into account, you'll have a better chance of success. One example of how we did his is here [1].

[1] http://blog.piekniewski.info/2016/11/04/predictive-vision-in...
It's hard to understand why he complains about vector operations that require stepping outside of R^2 but then introduces a 4 dimensional vector space. The justification needs to be reworded in my opinion.
Ιταλικό Σούπερ Καπ Γιουβέντους – Μίλαν
I just had a quick look at a email list I run for a local sporting organization and it looks like the big 3 are less than 50% of addresses. There were a lot of local ISP addresses, businesses and educational organizations.
Unemployment, in the sense of "who is looking for a job but can't find one" is low, but the labor force participation rate is at 62.7%, close to a 30-year low [0][1]. It seems to have bottomed-out in the last couple years and is currently holding steady, but the current level is not encouraging. Note that a low participation rate, as in, "people have just given up looking for a job and resigned themselves to permanent unemployment because there are no economic prospects in their vicinity" does tally quite well with the stories the media keeps talking.

Note also that median wages are not yet climbing after their recession decline, despite the falling unemployment (classically, 5% is about the level at which you expect wages to start rising), suggesting that a lot of the new jobs being created are kind of shitty.

[0] https://data.bls.gov/timeseries/LNS11300000
[1] http://www.businessinsider.com/labor-force-participation-rat...
First, you'd use match statements instead of if-then so the worst case scenario already looks much better than in C, especially since Rust has enum decomposition and makes expressions first class (you can do let y = if (...) { y } else { z }). There are a lot of ways of combining control flow and assignment operators to decompose union types like Option and Result (which is Option with error E instead of None). For example, you can do if let, while let, or let x = match(y) { ... } that allow you to handle errors without jumping through hoops like you would with C returns or C++ exceptions. For a library consumer this covers a large number of cases.

Second, most of the time you can use the ? operator to greatly simplify error handling. Any code path that shares the same error type can just pass through errors as if they were an exception. The ? operator is also aware of Into/From trait implementations so in many (or even majority of) cases you can use the ? operator even if the function you're calling has a different error type! If I remember correctly, you can even exploit the module system to provide a per-file Into/From implementation for your custom error type if it doesn't map cleanly across use cases (they just have to be in the same module as the type). Rust's zero cost abstractions and trait system make it really easy to reduce boilerplate without compromising on readibility or discoverability.

Third, the Result type has a number of functional operators for responding to and combining results. You can do Result.and_then(...) with a closure or function call to do something when there is no error and Result.or_else(...) to do something when there is an error. You can use the and or or operators to combine multiple results and there are many other utility functions that are universal to Rust error handling that make the entire experience very pleasant, composable, and readable with a little experience.
I don't get why more banks don't offer this. I am aware that this exists at certain US banks.
Right. It's not an issue of technology, for the most part, but it's the way American cities are designed. Instead of mixed-use walkable neighborhoods where people with a variety of incomes and backgrounds live, and stay put, we have suburban fortresses where people live in a box, never talk to their neighbors, drive a box to work, work in a box, then do it all over again.

The national highway system was great for a nation on the brink of all-out war. We needed to move troops, tanks, people, supplies quickly and efficiently. This system ended up being used to separate black people from working class whites. Naturally we have drug and violence problems in those communities that were segregated from the more educated and affluent white population.

Terrible. I wish I could be governor or something and make sure that we stop this. It makes me sad.
I think Uber's investors still are happy with how things are going. If self-driving car tech stalls or they start to lose market share they will get pissed. That's basically the strategy IMO, own the ride hailing market when self-driving tech matures. Seems doable to me but with a ton of risk factors involved.
Philo Farnsworth
You should just compare the unit costs in the two scenarios, factoring in transportation costs, construction costs, exchange rates, and local labor costs. There's no universal rules regarding these variables.
It's almost as if the rate of profit tends to fall.
Cow Package Manager
Many years ago, I sustained my subscription to 2600 by writing articles. Lots of fun nostalgia in those pages.
> Surely you can agree that the principals of a company owe (in the sense of being socially obligated) a debt of thanks and gratitude to investors for taking a risk on them in the first place?

Investors don't take on risk for the sake of the company they invest in. They take on risk because they think they will make money for themselves, and they would screw over the CEO and all of the employees, and other investors, in a heartbeat if they could get a good exit.

The investors got an ownership stake in an early-stage company with a high risk of failure and a corresponding high potential reward. The company got money to fund operations. Both parties got what they signed up for, and there is no imbalance in gratitude owed.
I'd usually refrain from "+1" style comments, but you guys rock!

Its great to finally see some improvements in the interface, but its still rather far from being as user-friendly as GitHub.

I've got some very specific aspects in mind.
Are contributions to Gitlab's interface accepted?
Good the DMV didn't give in. There will always be a lesser economy bragging with lesser regulations. If you step into that race, things will turn out ugly fast. Except if those regulations are outrageous, which they really weren't in this case.
> It's quite likely that with the RCP 8.5 climate change model, which could be feasible under a Trump administration since he has stated many times that he wants to increase the use of climate change inducing energy sources, someone who is 25 years old right now could die from climate change's apocalyptic effects when they are a senior.

Please tell me how. Excluding wars, I don't see how climate change will kill many healthy people in the US or Europe in the next century. It will affect our lives, surely. But kill?

Re: "depending on what life expectancy could be by the time he reaches that age"

This is quite easy to estimate, since increases in life expectancy have been constant for the past 80 years. The Dept. of Social Security even has an online calculator for it, which says a 25 year old male today has a life expectancy of 82.3 years.

Do you really think he'll be dead in 15 years from now due to climate change?
There is a pro for Python in that it makes machine learning really easy, or at least incredibly accessible. You can write and test classifiers in about 5 lines of Python using scikit-learn. The second point is that virtually all the latest deep learning packages come with Python frontends by default nowadays. For stats you could also use SPSS.

The other advantage of Python is that as a scripting language it's very powerful for data wrangling and pre-processing, without needing all the boilerplate that e.g. C++ would require.
It sounds to me like what he's building is a lot closer to a custom version of an issue tracking product than an artificial version of Dalio's brain.

Is this accurate?
Given the topic you are posting on, my question would be what happens if ClearSky goes out of business? Potentially any file system hosted on your storage would just disappear, right? (And the DR capability too, if I am reading your website correctly.)

I don't mean to be negative but I'm having some trouble seeing how the ClearSky feature set justifies assuming what looks like an existential risk to business-critical data on the service. Interested in your thoughts on this.

edit: typo
I have zero idea what the legal definition of debt is in the country/jurisdiction you live in. I also didn't specify what country I live in.

Additionally, my first point was one of metaphorical (social) debt.

Given the context and the fact I'm typing in English it ought to have been clear I was referring to the definition of debt in English. If that wasn't clear, I apologise for the confusion.
Julia is another option. You can even call R and python code from a Julia REPL.

You generally want an interactive language, though, because there is an iterative cycle in prototyping models.
They already have: https://flex.amazon.com
This very closely related article explains it better why https://www.washingtonpost.com/news/wonk/wp/2016/11/29/the-r...)

Those claims really start to stick in the 1940s, when the nation was gearing up for global war. American leaders started to worry about the consequences of their domestic racial discrimination policies. They were concerned it would get in the way of forging alliances with other people abroad. That really motivated American leaders and the American people to work on race relations.

During World War II, lawmakers thought that Chinese exclusion made for bad diplomacy. So Congress decided to overturn Chinese exclusion as a goodwill gesture to China, who was America’s Pacific ally.

With the beginning of the Cold War, American policymakers became really attentive to putting their best image out into the world. They were very interested in winning hearts and minds in Asia.

Japan is a very good example. Japan lost the war and the United States took charge of reconstructing Japan in its own image as a rising democratic, capitalist country. And because Japan became such an important ally, that was the moment when Japanese exclusion laws could finally be overturned, which happened in 1952.

Again, people in Congress worried that if we left these laws on the books, it would endanger a billion hearts and minds in the Far East
What do you mean down periods? Emotionally down? Periods where the business is struggling?
Fair enough. I just know that it worked with tup, for whatever reason I was playing with that instead of just entr+cargo:

ls src/*.rs | entr -c cargo build

(entr is pretty awesome :)
It's far from perfect, but it's better than any other option for most. Go to the android/apple store, click instlal, start chatting with anyone in your address book that uses it.

Anything else is either much less secure, or much harder to install/use.
I just finished this last night. Highly recommended.
This is the biggest issue I've had with NFS. If the mount goes stale, programs can get stuck in an uninterruptable state that takes a reboot to clear out.
I saw a self driving Uber SUV in Scottsdale yesterday on my way in to work. Had two people in it. For the minute or so I was next to it I saw it drastically slow down for a crosswalk[0] that crosses in the middle of a street. Normally no one slows down there unless the pedestrian sign is lit up.

[0] https://www.google.com/maps/@33.4871087,-111.9428112,3a,75y,...