skysight-inc/HackerNews huggingface dataset:
Middle America is chock full of towns, full of middle class white people who perceive almost zero opportunity.

We have startups, Youtube, online university materials, and enthusiast groups that will assist a motivated, energetic, optimistic person to get ahead.

The second worst thing you can do to a person is tell them not to bother learning a subject because of their skin color.

The worst thing is to add 10 points to each of their test scores, and have them find out.

We've all had people [in grade school] make fun of us for learning computing or frankly being too good at anything. Below average people are always trying to drag us down. But once we get on the other side of a people-filter [such as college or a company] we realize the world is much more egalitarian and full of independent minded people.

[Edits added in brackets]
Product Recommendations. Trending Items (Top items being sold this week as opposed to last week, while filtering out items that are generally popular.) Much easier with Elasticsearch than SQL https://www.elastic.co/blog/significant-terms-aggregation
How does one find old friend's phone numbers or emails, when they want to reconnect, nowadays?
How Amazon Gets Away with Not Paying Taxes
That page is crazy. Are they trying to emulate fixed positioning with js updates of some other positioning?
Not letting a child on the web without an adblocker is, in general, responsible parenting. The ad industry is at its scummiest when it comes to ads targeted at kids (and it's been that way for decades, it's just especially visible on the web).
There are two sides to a trade, and typically Bitcoin only handles one of them. Buy some food with Bitcoin and it still might taste bad or make you ill.

Even for purely financial transactions, any kind of loan or investment still has counter-party risk.

So even if a crypocurrency worked perfectly, it doesn't solve very much.
Principal Components Analysis – Layman's Introduction
This is a very good point. Analysis can become quite trivial when you have clean data. With messy data you may need 3+ orders of magnitude of data which is often not possible. Unfortunately VC pays a higher premium for data scientist than data janitor.
People think Amazon has most positive impact on society of major tech companies
Serenity Hemp Oil – Peppermint Flavor – 1000mg – Full Spectrum Hemp Oil
> Pitch-less intentional walks... help achieve that goal.

IBB occurred 970 times in 2017. Assuming the pitch-less intentional walk saves 5 minutes each time it occurs (which is a high estimate), the average game time dropped by 2 minutes.

That's not a huge difference.

EDIT: had the wrong numbers, updated with the right numbers.
Installing GitLab, GitLab CI on AWS EC2 from Zero
Fair. I view them as what they grew into. Not as what they were initially designed as. Probably not a straight forward comparison.

I've just gotten weary of so many replacement protocols that get dreamed up and go nowhere. Often because they didn't actually learn all of the lessons from predecessors.
Sounds like 9-1-1 operators. I'm sure there's a way to make it work, but it won't happen over night and unfortunately most processes are the result of learning from mistakes which in this context are potentially life threatening.
Haha. Well that's why the amounts of money people are putting in the network right now are very small. It's certainly not something anyone recommends using for large payments, at least yet.

I think many people envision it something like an account balance you top up as you need to.
This is the opposite of AI use cases in marketing. You are declaring a specific timeframe for your message delivery. That is not how a marketer should deploy AI. I haven’t been in any pitch meetings since AI assclownery took hold so I can’t comment on how the term is being abused. What I can say is that a model that used AI would take every parameter it could about each customer and determine the optimal time to sent an email to get a conversion. The only inputs the marketer should provide is raw historical data with clear parameters like order value, order items, estimated revenue, buyer classification, a stream of subsequent etc and date, and the model should solve for the correct timestamp to send the follow up message. I don’t think the AI is writing the message yet, and I don’t think you need a neural net to do a decent job at solving for the right datetime to send. I do think the approach I described would get superior conversion rates than a rule, cost more to make than that rule, and definitely demand a decently huge dataset to add much value.
As an engineering shop? In what way?

Disclosure: I interned at Amazon
> even for the most dedicated fan

I watched 100+ regular season games of the Dodgers last season. It was a lot of baseball. That plus an exhausting World Series meant I had to decompress and avoid sports for a few months.
>What do you mean by this?

The goal is to reduce n bits of data to x<n bits. Because there are less variables you gain predictive capability of n-x bits. Or stated differently, the goal is to get closer to the kolmogorov complexity of whatever you're trying to model.

Yet it's not possible to compress n bits in the general case. That's because the kolmogorov complexity is a function of your assumed knowledge (assumptions). All you can do is start checking every possible transformation from your assumption starting with the most probable one - the probabilities are based on your knowledge itself.

>we already have many approximate algorithms that are significantly better than brute force

Yes - but that means the algorithm itself, along with its execution, is the shortest (in the used metric, which can include execution time) answer for a particular problem. How do you generate the algorithm in the first place?
Don't love your tone, but I agree. I have been working in what was called predictive analytics for 16 years.

I've done tons of projects, for tons of companies, and this sort of refrain from people is pretty common when they don't have experience in the field. They think of it like some fad that doesn't make a lick of sense outside of a C-level discussion.

But the reality is, predictive analytics is extremely powerful. One of the last projects I did was to save Trains from derailing. Another was to improve crop yield of a farming company by using satellite imagery to determine when a field was most needed to be harvested. Tons of other examples.

To even explain the particular use cases would take quite awhile because they are domain specific issues. Cron isn't solving these problems.

What the person is really saying is, I don't have experience in these topics, what can be so hard about them?

The same style for people who arm chair sports, or politics, or programming, or any other topic. It all seems easy when you don't know the details.
So one of these for tx and a usb tv tuner for rx, a Raspberry Pi running OpenBTS, and you've got yourself a sub $100 IMSI catcher...
I don't think it's a rule that JSON parsers are, in general, "pretty secure." Even if the parser itself is not vulnerable (to say, hitting recursion limits), how duplicate keys are handled between parsers has led to security vulnerabilities in the past for other things such as GET parameters. Or suppose an attacker gets a message through a few layers and that then causes a backend server to fail, like with the Swift errors he talks about, causing data loss.
My synth app is still a C++/ObjC app. Integrating with C++ code is one area where ObjC still wins.
Other than the electric engine I don't see much revolution in a Tesla. What revolutionary is in a Tesla? Touch screens?
what sucks is that any savings is taken by property taxes, especially in NJ, NY etc. And they go up every year. That alone is in many cases as much as rent (albeit on a smaller place, but still) http://www.nj.com/politics/index.ssf/2018/03/nj_towns_with_t... Hey, at least state officials will have nice pensions wen they retire.
I’d want both the 90% as well as the explanation. While some parts of these NN are black boxes, many parts are not. I’d want to know what data the model was trained on; if there were any biases in the patients tested so far; were there any issues with batch effects, et cetera...Like you said, if the question of chemo was on the line i wouldn’t want to go with just a black box.

That being said, at some point in the future, when these types of problems with NN can all be ironed out, I think going with the NN will be the obvious choice. The massive numerical complexity of cancer and the human body is too large for any human to understand and treat optimally.

NN + doctor for now; just NN in the (relatively near) future.
"software engineers" in SF aren't making 140k either.

If you look across several software-related job titles that are around 140k in SF (you may have to include terms like "lead" or "senior") you'll find Boise salaries to be closer to 3/4 than 1/2. Some are a little lower, some a little higher. Denver tends to be a little higher than Boise but still well below SF. Housing costs in Denver are also considerably higher than Boise and considerably lower than SF.

Which goes back to my original point: that it's particularly important for people in that approximate salary range to run the numbers for themselves and their own situations. While for people making a lot more the higher salary easily dwarfs the CoL and for people making a lot less the CoL easily dwarfs the salary, for people making not-particularly-exceptional salaries within the general software field, the numbers are similar enough that the specific offer + your specific housing need + other personal details can make the difference.
Cricket deliveries are similar speeds to baseball pitches, aren't they?

Also, outs are cheap in baseball, but very expensive in cricket - so playing more conservatively is optimal.
A far greater percentage know what it is, and use it than you are giving credit for.
How in the world did this get downvoted?
Note that all the schemes involving giving free housing to the homeless also come with counselling and psychiatric help.

That the problem is multifaceted doesn’t mean that free money and housing won’t significantly reduce the symptoms. You doctore will still prescribe anti-inflammatories even if the problem is a broken bone. The anti-inflammatories aren’t there to fix the bone, they are there to ease the other symptoms to make recovery easier on everyone.
As a technologist who is a part-time real estate investor, this article, like many others, fails to take into account the context of the situations that people can face. There are plenty of situations where buying is better than renting, and plenty where renting is better than buying.

One major concept that breaks the traditional buy/rent arguments is that today we have the internet which creates a new type of opportunity: to work in a different city than where the company is physically located. This greatly changes the dynamic and enables new types of opportunities. Want to see the world? Then don't buy because you could live in 10 countries over 10 years for the same price (or maybe even cheaper depending on where you would have bought).

Point being, there are times where buying is the responsible decision, but renting can also at times be the smart decision. Don't let articles like this influence your decision. Make a spreadsheet, really dig into what are the pros/cons. I've helped many friends do this, and sometimes buying was the right decision, and sometimes it wasn't. What are your life goals? What are your investment goals? There are so many variables at play.

Do what's best for you. I rented for 12 years before I bought. If I had bought earlier, I would have been less likely to move...moving helped me advance my career more quickly but meant I rented longer. In the long run that was the right thing for me as I was able to buy a bigger place in a more expensive area (NYC vs Dallas). For others that might not have been important or necessary. Just because one person has a negative experience doesn't mean that you will to. The responsible thing to do is to understand what _you want_ and make sure you're making the right decisions to make that happen. Buy or rent based on that, not the other way around!!!
As a commitment averse 30-something perpetual renter I've always felt like I was "throwing money away" by renting - but having breakages, plumping, electricity, etc be someone else's problem was how I often justified it to myself. While I'm sure, like anything, the decision to rent or own is highly situational this article still gives me some hope that I haven't made every wrong decision when it comes to "build or buy".
The financial arguments assume one only pays the minimum mortgage payment amount. Many people add a bit extra each month which can quickly turn a 30 year mortgage into a 9-12 year mortgage.

It also ignores many of the other benefits of owning, such as having a lot more say over what you do with the propert and not always having to worry about rent increases or what happens when the lease ends.

The rent vs buy equation is never black and white but this article comes across as quite one sided.
I think the big problem with your example is that most companies just don't have something I want to talk with them about. For large stretches of the year. No amount of ai is going to change that I am not in the market for a car, as an example. Even biking gear is off limited sellability to me most years. Hard to know when I'm going to buy new booking shoes, unless you know when my shoes are going to go bad.
Through complicated financial tools with all kinds of different tax implications, fees, and mental/time burden for management, yes a small subset of medium to high income people can attain similar returns on investment as a homeowner while renting in certain situations. But the very backbone of the American middle class has always been home ownership. It’s a simple, understandable investment which holds tangible value regardless of it’s current market price. The tax incentives in the US for the average wage earner are so heavily skewed toward home ownership that it is almost impossible to make it into the middle class any other way.
He has a point. I learned this the hard way when I looked at the amortization tables when i bought my first house, it still stings when I think about it.

That said, mortgage interest is tax deductible, which lead to a decent refund this year. So assuming you’re not withholding income at your effective tax rate (but the usual 25-30%) you’ll get a fair amount of it back, which I don’t believe you would if you rent.

So yes, mortgages are throwing away money as well (less equity and reduction in tax liability)
Ironic given that their Fremont plant was used by Toyota. You'd think they would have gotten some knowledge transfer on car assembly 101 when buying the plant.
What new jobs are we going to invent apart from everyone making a living selling bad stick figure cartoons to each other?
why not release it as vlc3, not as an upgrade to the previous release, so people could have oth installed side by side if they wanted?
That's a strange argument to make on this article. Sure, races are an attempt at categorization of something much more complicated than the categories can encode. As such, there's differing perspectives about how many racial categories there are, how to draw the boundaries, and no matter what, there will be people who don't fit into any of your categories. None of this detracts from the fact that racial categorizations are useful and predictive for the overwhelming majority of the Earth's population, just as the questionable status of Pluto doesn't interfere with research on extra-solar planets.

By HBD, I assume you're referring to differences in intelligence between races, but please correct me if you're referring to something else. It's always a bad idea to start with the conclusion you want and work backwards. However, in the US, amongst the present-day population, there is OVERWHELMING evidence that there are average IQ differences between races. The open question is what causes these differences in the averages.

We know IQ is partly genetic, and we know races differ in allele frequency of many genes. It's possible, though exceedingly unlikely, that genetic differences between races contribute precisely zero to average IQ differences. And there seems to be some circumstantial evidence that genetic differences between races do account for some of the average differences. This is a question that is at least amenable to study, by correlating genes with IQ, and matching this against allele frequency in groups.

HBD is not unscientific, and the comparison to psychics is unwarranted. HBD is an attempt to explain an observation (IQ deltas) with a hypothesis.
Having extensively used the public transportation system in a number of US cities, NYC has been by far the best place to try to get around by subway. Is there another US city where you think the subway works much better?
I think the larger point he's trying to make is that it's foolish to regulate the potential out of emerging technology (NN) and make it harder to discover new technology (the penicillin and X-ray of their time).
> As a technologist who is a part-time real estate investor, this article, like many others, fails to take into account the context of the situations that people can face. There are plenty of situations where buying is better than renting, and plenty where renting is better than buying.

I think the article very adequately explained exactly what you're talking about. Did you read it all the way through? It's pretty long, but she definitely covers how individual situations vary. Her whole point is that buying based off of a cliche is wrong, and every person owes it to themselves to analyze their own situation to make that decision.
I am going to speculate that it isn't poor engineering per-say but more likely that they are solving for 95-99% use case and not spending the man-hours to make their systems work for the rest.
I find very handy the Postgres aggregate and stats functions: https://www.postgresql.org/docs/current/static/functions-agg....

I have also used Sparklines in Python for quick and dirty trends
It is slightly unusual. Germany is somewhat similar, as is China (scaled to their population).

The Tokyo metro is famously 30% of the population of Japan.

It'd be like LA having nearly 100 million people.

The Moscow metro is 11% of Russia. The NYC metro is 6% of the US by comparison.

Germany's two largest metro areas - Berlin and Ruhrgebiet - have a comparable share of its population to NYC at around 6%-7%.

Stockholm is 23% of Sweden. London is nearly 21% of the UK. Paris is 18% of France. Toronto is 16% of Canada. Mexico City is 16% of Mexico. Madrid is 14% of Spain. Amsterdam is 13% of the Netherlands. Bucharest is 12% of Romania. Rome is 12% of Italy. Jakarta is around 11% of Indonesia. Lagos is 11% of Nigeria. São Paulo is 10% of Brazil.

Amazingly, the Shanghai and Beijing metro areas are close to or sub 2% of China.
"...and honestly sounds like someone trying to justify their decision to not own property."

The author literally states that they are a homeowner themselves.
Anytime you need to make sense of unstructured data like images or text and drive an automated business process off it.
Your property taxes and mortgage insurance are deductible where rent is not. If you look hard enough in NJ/NY areas you can find places where the principal is near the rent price and you deduct the rest. In the long run that works out to your favor.

Not everyone can afford such a situation and the new Trump tax changes don't help either. Just saying "I should rent" is irresponsible because you think you're bumping the state pension funds. When you rent you're helping an owner pay off their mortgage as well as the very taxes to pay that pension fund.
Though your generally right, the article sets a tone in the first paragraph.

It is saying that if your looking for ML/AI solutions for marketing and you ARENT doing the basics already then your throwing good money after bad. You should START with some sql and targeted emails before you dive into a large and potentially expensive project.
Rent, in an arbitrage free economy, should be exactly equal to the interest on the mortgage plus wear and tear on the house.
Yeah, I noticed we were skirting between those topics. I think mostly the points still stand. On both sides. :)
Serverless on aws has terrible 95th percentile latency. As a result, it’s not a good fit for web apps. Why make life difficult? Put two small dynos behind a load balancer with a smallish db for $100/mo on heroku. Front it with cloudflare and cache liberally at the cdn level with invalidation on write.
I've worked for half a dozen Fortune 500 sized companies within Data Science teams.

Nobody, repeat nobody is spending tens of millions on Data Science programs for answers to problems that a Data Analyst could already do.

If you know names please be specific but what you are saying is a bit ridiculous.
Amazon’s new blockchain service competes with products from Oracle and IBM
Not just a homeowner but a real estate investor.

https://affordanything.com/how-we-made-43211-67-in-passive-i...
Why not both?

http://sqldatamine.blogspot.com/2013/07/single-multiple-regr...
Forecasting and prediction. Specific example: given a high quality dataset, forecasting sales is a good use case for machine learning. Of course, you could do this with SQL as well, but again, given a good dataset and a complex domain like sales, some relatively simple models will be hard to beat with a 10 line SQL query.
Those are actually temporary problems. Once ABI stability is implemented, those DLLs will not be needed. The compiler is obviously a WIP and will take years to become more mature and optimized. Likewise for C++ interop.

There are fundamental issues with Swift, but those are not them.
There was a 2007/2011 German TV series based on Lem's Ijon Tichy character from The Star Diaries:

https://www.imdb.com/title/tt0978537/
> There are two sides to a trade, and typically Bitcoin only handles one of them. Buy some food with Bitcoin and it still might taste bad or make you ill.

You have this same problem with any form of money.
The problem I raised is counterparty-risk when holding your assets (before transacting).

> Even for purely financial transactions, any kind of loan or investment still has counter-party risk.

Yeah, that's why maybe loans should have higher interest (right now, the low interest is artificial, because the bank is really making more money from the fact that it's working as a fractional reserve, not from the interest it gathers from loaning you money).

> So even if a crypocurrency worked perfectly, it doesn't solve very much.

It solves just one thing. Granted, it's not a silver bullet. But there are never silver bullets. Every single invention that humanity achieves, just improves the world a little tiny bit. Cryptocurrency does this as well.
I'm just joking around, but I think it was taken very seriously.
To clarify, the cold starts are present on _every scale up_ operation with aws lambda ( plus cloudfront->api gateway->lambda ssl tcp connection overhead ). To keep 500 concurrent lambdas warm costs ~$300/mo.
Set Ruang Tamu Jati – MAJUO
Mortgage interest tax deduction, especially for high-tax-bracket people, is often a major factor in calculating returns and should not be looked over for any 'opportunity cost' based arguments. It's also worth noting that most people, compared to a mortgage, don't have access to similar financing at similar interest rates for any other kind of investment/venture and have no hope of breaking out of a month-to-month living situation. 15 years may seem long, but eventually owning a home & not paying rent during retirement, having an asset to borrow against for a child's college or a health emergency, is a decent prospect for most people.