skysight-inc/HackerNews huggingface dataset:
He fired that campaign manager (Corey Lewandowski) so that he could work for CNN and essentially be the Trump talking head.

Also Trump is probably going to rehire him - http://www.cnbc.com/2016/11/12/corey-lewandowski-donald-trum...
This is the best explanation of the psyche of the white working class I have seen on here yet. Every point in here rings true to me, thinking about the way I grew up and the people I knew, and still know back home in a dying blue-collar resource-extraction and manufacturing economy.

> Understand That Working Class Means Middle Class, Not Poor

> Understand Working-Class Resentment of the Poor

> Understand How Class Divisions Have Translated into Geography

> If You Want to Connect with White Working-Class Voters, Place Economics at the Center

> Avoid the Temptation to Write Off Blue-Collar Resentment as Racism

And then this is the real kicker, to me:

> One little-known element of that gap is that the white working class (WWC) resents professionals but admires the rich. Class migrants (white-collar professionals born to blue-collar families) report that “professional people were generally suspect” and that managers are college kids “who don’t know shit about how to do anything but are full of ideas about how I have to do my job,”
Apparently Stephen Wolfram and his son were involved in the making of Arrival http://blog.stephenwolfram.com/2016/11/quick-how-might-the-a...
> Maybe we should remember the words written in the founding document that precluded our noble country's separation from the English State:

> We hold these truths to be self-evident, that all men/women (language added by me) are created equal, that they are endowed by their Creator with certain unalienable Rights, that among these are Life, Liberty and the pursuit of Happiness.

Maybe we should also remember that most of the people who signed this document owned slaves.
Do not think of laypersons idea of what creativity means. Legal definition of creativity is so broad there is very little difference. If human did it and it wasn't strictly a mechanical process (like copying), if any decision / choice was made that is "creativity".

The integer sequence 78, 34, 56, 99, 23 is creative enough for copyright (probably, don't know for certain until judge(s)->SCOTUS says so)
I think the problem is that we don't really understand ML properly yet.

Like picking hyperparamters - time and time again I've asked experts/trainers/colleagues: "How do I know what type of model to use? How many layers? How many nodes per layer? Dropout or not?" etc etc And the answer is always along the lines of "just try a load of stuff and pick the one that works best".

To me, that feels weird and worrying. Its like we don't yet understand ML properly yet to definitively say, for a given data set, what sort of model we'll need.

This can lead us down the debugging black-hole TFA talks about since we appear to have zero-clue about why we chose something, so debugging something ultimately might just be "opps - we chose 3 layers of 10, 15, and 11 nodes, instead of 3 layers of 10, 15 and 12 nodes! D'oh! Lets start training again!"

It really grates me to think about this considering how much maths and proofs and algorithms get thrown at you when being taught ML, then to be told when it comes to actually doing something its all down to "intuition" (guessing).

And yeah as others have said - data :-)
Python2orPython3 – Python Wiki
Picture Time as the surface of a pond.

Events are a stone being dropped into or skipped along the surface of that pond. The waves produced by the event are viewable from all angles. The actual event -the stone drop- occurs only once. The event is immutable, even though the ripples persist and are measurable.

We may eventually be able to view the ripples in more detail, and see past or future events. The events themselves though, are immutable. They've already occurred or have not occurred yet. The stone does not change. The interaction between stone and surface does not change. What changes is our ability to decipher data from that event, not the event itself.
By the way, I am looking for any and all feedback and would love a code-review!
Because most of the models are flawed or wrong.
Those look like excellent resources. Thank you!
Still trying to figure out how to add a simple function to Excel. This is an old attempt at adding a function `double` that doubles it's argument. http://kalx.net/ExcelUDF.html
Seems to no longer work.
you linked to the polls only forecast which they described as both more volatile and less accurate.
just because others do with less does not mean a solution is overthought.
It is a generic game builder. Hearthstone is the first template that's available, but you are able to modify the rules to make any games you'd like. Check out the "rules" tab on the card list.
It's not clear what exactly you're arguing. The loophole isn't all that complicated: Uber is effectively an employer by any reasonably consistent judgement. They've decided to unilaterally declare their employees independent contractors, a designation that's been challenged in multiple jurisdictions, in an effort to skirt labor law.

If you're saying the loophole is a good thing because it suits your "political/economic beliefs", that's fine, but that doesn't make it not a loophole.
PVS-Studio and Bugs in Microsoft Open Source Projects
Why don't you rewrite this without the Stallman-isms? That might be constructive.
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Our core platform utilizes phone sensors and phone data to predict the state of an individual’s recovery in real-time, enabling the right care to be delivered proactively the moment it is needed. Imagine if you could predict risk factors that lead to regressive behavior, such as when someone is angry; when they are experiencing a craving; when they are not sleeping well; or when they are falling off their continuing care plan. Now imagine doing all of this without self-reported data.

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Thanks for letting me know. Will fix.
Firefox in recent versions, too.
Well, that and AMD has x86-64 & ARM licensing and experience sitting right there in house, ready for Microsoft, Sony, Nintendo, etc to say what IP Blocks they want, with a 3 month lag until that custom chip is ready.

Nvidia did make what could have been an x86-64 chip, but had to can that since they couldn't get the relevant licensing from AMD & Intel to allow its production and sale, hence why everything they sell is ARM.
I find it curious that people talk about the "economic uncertainty" as a center piece, but somehow "Blue collar resentment" doesn't seem to manifest itself in the same way with non-whites. As if to say that non-whites are doing better.
Very cool: with capable CUDA device in a car, one should be able to mine some crypto coins with it! With some luck the car should be able to pay for itself!

Alternatively, having in mind Elon's creative approach to finances, Tesla could get some significant hashing power with its fleet!

Edit: looking at the downvote I suppose the joke wasn't obvious?
How did you determine jrcii is banned? Is it that their most recent comments are marked '[dead]' and not '[flagged][dead]'?
tl;dr: Agreed, but the problems and models ML folks play with are more complex than most physics-like systems.

Having spent a lot of time doing Monte Carlo rendering, I can say that "why is this pixel messed up" can be a painful affair (and that domain is at least visual!). Bad input geometry, NaNs or Infs because you forgot to handle some 1/r^2 term, etc. occur in all numerical computing.

Some of this is actually obviated in TensorFlow the same way it is in much of numerical computing: frameworks that have been battle hardened through years of bug fixes. This lets you at least focus on "Did I describe my model correctly?" rather than "Did I implement gradient descent correctly too?".

Again, rendering (and all physical simulation) has the benefit of producing a picture and the inputs are effectively "physical". The challenge for machine learning is that you're trying to optimize for figuring out the underlying model rather than relying on the laws of physics for your problem. While this is just as true in any numerical modeling problem ("Should this be a 4th degree polynomial or just cubic?"), the models that ML folks put together are effectively quite complex and the input datasets are both very large and usually unstructured. The visualization of the network being trained in the TF Playground (http://playground.tensorflow.org) helps with the model but not the original space.
It's a very good point.

Yes, often it is possible to determine where the user belongs in that 90/10 setting, but it can take a lot of time in order to be 'pretty sure'. You need a lot of 'user interaction' in order to make that assessment.

The 90/10 rule can broadly apply to things like culture: certain Latino Americans speak/write very differently. A lot of 'le' and 'la' (gendered) in there as well as a whole different set of proper names and colloquialisms.

But it can take some time to really establish if someone is 'latino' from their writing.

Even harder: some people type more precisely, some people type more loosely. You can actually adjust the probability spectrum of a predictive keyboard to match someone's style. But get this: people's style changes all the time! I noticed that when I'm tired, I type like I'm drunk. Or if I'm busy etc.. So there's even variation in style that makes it difficult.

It's a really hard thing to do.
Weirdly, even the big gas and oil companies are at the stage when they're calling for a carbon tax. They put out a joint statement over a year ago. It's just US coal that's holding back the consensus.
You know, I think the danger in partisan labels is that we are labeling ourselves. When that happens, we shut down big pieces of our brains and morality.

But that's ok, because those other people did it in days gone by. Such hypocrites, they. What I do today is just a response, and I'm better than them.
The new nintendo console/handheld have Nvidia graphics.
By that logic, consensus should be the only thing you would trust. Paying people for new findings disincentivizes consensus, unless perhaps those people have several avenues to explore and are willing to close off some of the less promising ones - again in favor of consensus being trustworthy.
They would not complain about it if Clinton was elected.
Their principles are just different, man.
Did the media or Time in particular ever advocate mass surveillance? Pretty sure they've been railing against it for years. We wouldn't even know about it without the NY Times exposing Bush's Stellar Wind. They're just placing a new urgency on it now that our President-elect has promised to grossly abuse it.
I found Stateless a few weeks ago and it came in super handy for a project. Definitely plan to use it more often.
Oh, so it's a matter of degree for prescriptivists is it? Got it.
Show HN: A local, people-focused tech jobs site for PDX
Embryonic Stem Cells and Fetal Tissue Research–Will Trump Intervene?
Ok, put in that light I understand why there's a gut reaction of negativity. But when evaluating economic welfare of society, it is nearly an iron-clad rule to view all humans equally, and the scalpers are no exception. So we should try to push back against our gut reaction and look at it rationally.

Once we accept that the welfare of resellers matters just as much as customers, it's clear that the situation is not strictly worse with scalping.

As you helpfully tallied up there, the gains and losses of everyone involved is the same in terms of money changing hand in either case, but in the latter case of scalping, the world is richer, because in addition to the money you paid or lost, people in the world who have an NES celebrate it to the degree they like the NES. And that has to be higher for the people who won it via auction rather than blind luck.

I can see an objection coming, and that's that in the real world it's not blind luck, since often the people in a no scalping world camp out for days to try and be the winners of the lottery. But this is not a good outcome, because while this does mean that the people who value the NES most will tend to get it, it also leads to ruinous competition in terms of who is willing to spend the most time in line. The hours wasted to the line have to then be counted as a negative in the tally and that makes that option arguably worse than the blind lotto and certainly worse than the auction.
I've worked in tech for over 20 years. I'm tired of throwing resumes at global job sites and hoping for the best.

So, I'm building something local for tech jobs in PDX, focused on helping local companies and the people living and working here find each other. Being an "older" worker, I'm especially interested in helping people of all ages and identities (and experience) find work in the tech industry in friendly, inclusive workplaces.

Post your tech jobs here if you feel the same. I'm going to make the best possible resource I can, to help as many people as I can. I'd be grateful for any and all feedback from folks here as things progress.

James Gill hello@techjobspdx.com
Remember the context at the time. Rommel had led the invasion of France, disobeying orders his armoured division had charged ahead, leaving the main formation far behind, out of range of communications. The German high command had no idea where he was so couldn't reinforce or resupply him (or summon him for a court-martial I suppose). And Rommel was in trouble at this point; his men were exhausted, his tanks were out of fuel and breaking down, spread over miles of countryside. If the French had sent one reconnaissance aircraft they would have realized this, and in fact could have just ignored him, he wasn't able to go anywhere.

Instead word reached Paris that the Germans had penetrated 150 miles into France and the French government panicked and fled, and that's how Rommel invented blitzkreig. Churchill would have been perfectly well aware of what happens when the government abandons its capital. The French are still suffering from that reputation even today!
Then totalitarianism did actually start a long time before Trump.

> It took all the spin of RT, Assange, Wikileaks and the right-wing side of the press to turn Clinton's attempt to use existing ties to pressure foreign governments to reduce their support for terrorism, into its opposite.

Clinton did accept money from the same governments that provides support to ISIL and she didn't report that to the administration while she was secretary of state. When you look at many things its hard to ignore "pay for play" shady dealings via clinton's charity while she was secretary of state. Which is important, locker room talk? If Trump raped somebody, there would've been an actual case against him.
Sure. Time is a mere environmentaly conditioned mental conception. No such phenomena exist. Only environmental and social conditioning. It could only be derived by an intelligent observer. No observer - no time. For a photon there is no time.

BTW, conversation laws are hinting to an illusory nature of time. Change of compound structures do exist and it is in everything we are able to observe. But the whole is unchanged, no matter what fancy theories or simulations would say.
Practically this almost never works out. The 10% cluster is using a very small dataset and will produce inferior results. If you train a model based on only 10 people, you're prone to overfit that small sample
It does. They published this:

http://data.nintendo.co.jp/oss/NintendoEntertainmentSystemNE...

Containing:

http://pastebin.com/9SzB2ZFp
This is more or less what will happen.

In addition to (eventual) climate change China has been making itself increasingly unlivable due to conventional pollution (in all forms)...but the leadership there has always seen this as a temporary cost that must be borne to catch up with the west.

Internal pressure will already force China to do something sooner rather than later; handling the problem is a good way to consolidate power internally and thus tackled enthusiastically.

Throw in the USA voluntarily ceding its position of world leadership and it's an opportunity to go from barely-tolerated semi-pariah to increasingly-respectable world leader.

In particular expect China to "save" Africa once the worst begins. But, not immediately; groundwork is already being laid, but right now they can afford to be patient.
It's the NVIDIA Tegra SOC this is different than having to fill your pipeline with custom graphics for a mainstream console.

Nintendo just licensed the SOC from NVIDIA, the PS4 had a custom chip from the green giant, and AMD does custom APUs for the PS4 and Xbone,
+1 to this.

I dont think you need to know (or at least should not need to know) much stats at all to use pre-built libraries like TensorFlow.

It feels to me that a lot of the ML courses around concentrate almost entirely on the stats & maths side of ML though. This strikes me as a bit of mental-masturbation.

To teach people how to program from zero-knowledge, we don't first teach them how modern compilers or the JVM works and how they do their complex optimisations and JIT etc. Why are we teaching people how to use ML from zero-knowledge the absolute raw nuts and bolts of the maths involved (complete with all of the mathematical proofs to prove that something works etc)?

Sure eventually it would be useful to know what is going on with the maths, just like with programming it eventually can be useful to know what the compiler/JVM is really doing, but a LOT of productive stuff can be done when blissfully ignorant of what TensorFlow/the JVM is doing.

ML is easy, but the courses are often too aloof and strike me as academically focused on the maths purely for the sake of the maths itself, rather than on what ML can do. ML is not hard - any programmer can understand it, but the maths is off putting to programmers who are not mathematicians (the majority I'd say)
A single individual will not and if you broadcast that your life is less good because of it, then you are actively working against your goal.

Instead, you should revel in a better life, such as having more energy from a fresher diet and more exercise, if that is true. If it is not true, then you have to do the harder (probably impossible) job of convincing them that they are dooming their descendants.

Sometimes, just being an example, one that is transparent enough to make it look doable, might make it possible.
True, but there is a significant risk of false information if the sponsor then can financially gain. For example, if the U.S. government felt that belief in climate change would be economically advantageous, they could pressure local researchers to find in favor of climate change. It seems unlikely that the Chinese government would have a mechanism to issue U.S. grants, however.

This happens all the time in marketing. Although, to be fair, those studies are often preceded by a number of more accurate private studies, and only the publicized one is suspect.
I've been using this library for a couple of weeks, and so far I have been very impressed. It's relatively easy to use, and seems to be pretty comprehensive in the amount of the Qt API that it supports.

I raised two small issues, and both were addressed quickly by the author. In one case incredibly quickly.
I think most of his concerns only matter when Uber is monopolizing the market.

As the example in his privacy point, if I have an One Night Stand, I could just get in with Uber and get out with Lyft. My location history is then protected as long as the companies are still rivals and don't share info.
Frankly, we had the candidate to address this. Taxpayer-funded education would have allowed these otherwise useless people to gain useful skills.

I fear from now until the world becomes uninhabitable through climate change that these useless people will remain useless and keep voting in fascists and ultranationalists that will quite literally destroy the planet out of spite for the "elite" who were lucky and skilled enough to be useful to society.
He also assaulted a female journalist (from Brietbart ironically) and then the Trump campaign flatly denied it ever happened despite it happening to one reporter right in front of another. Luckily for them it was also caught on camera or they'd have to live with being smeared as liars by the next President of the USA:

https://www.washingtonpost.com/posteverything/wp/2016/11/07/...
Android Calculator Parses Expression and Renders as an Interactive Tree
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If you don't know who the spreadsheet wizard is at your company, become that person. This works in almost any company regardless of field. Once there are some more lessons here, I can see it being a great resource.

This looks like a good start, but you pretty much need to get either Google Sheets or Excel into the browser window for the exercises. The half-working thing currently there just isn't going to cut it. It was very hard to work with.

I don't know what plans you have for future tutorials, but I would suggest using specific business use cases as scenarios and exploring them from a basic approach along to more advanced solutions where appropriate.

Also, I really like the name.
Well, generally, we know why certain models work on certain types of data.

But picking a proper model and hyperparameters requires some insight/knowledge about the properties of the data itself, which is the whole purpose of doing ML experiments in the first place (to gain knowledge/insight about the data)!

However I do agree that we don't fully understand the area yet or the reach of its applications.
In the spirit of taking surprising statements at face value, here are some examples.

- Having a kid? Now your whole extended family is available to give you help and advice, to babysit, to be there for you when you need them.

- Need a job? It's a lot easier to find one when you have a personal network in a place already.

- Something terrible happen in your life? You now have a built in set of folks to help you through it.

There's incredible value in having a large local support group. Yes, it's possible to compensate for the lack of it with friends, and those of us who have moved far from home tend to do that, but that's a pretty straightforward second best compared to being with family, people you've grown up with, etc.