leeber

To everyone worried about privacy:

We all trust our e-mail to be stored in the cloud, we store sensitive files etc on services like dropbox, we trust that our operating systems aren't collecting/sending data, etc.

You're already using and relying upon MANY services with the ability (if they really wanted to) to steal TONS of private information from you.

It all comes down to trust. But don't pretend like this opens up some new door for privacy concerns.

Ex. If Apple wanted to, they could watch us through our macbook cameras and listen to us all the time. But we trust that they don't. Same thing here.

I currently use nginx for all my projects, which for me mostly consist of (1) serving static content and (2) proxying to gunicorn. My setups are usually not overly complicated, basic redirects for stuff like www/non-www or ssl/non-ssl, installing ssl certs can be a pain sometimes, and for the most part I use a lot of default settings and have never needed to go in-depth with tweaking settings.

Does somebody like me have a reason to check out Proxygen?

Here's why I like angular...

It only took me a couple days of fooling around with it before I built something useful with it. The steep learning curve is only if you want to know the how-and-why behind every feature of the framework (which I still am not even close to). Learning 100% of the framework is simply not necessary for certain apps.

It's easy in my opinion, it's quick, and it gets the job done. If I run into any problems, there about a bazillion stack overflow post addressing my issue already.

> Or did they just successfully string together the correct sequence of buzz words to unlock the grant money?

This, absolutely. Big data, data mining, and machine learning are really cool topics but the words became overused, overhyped, used out of context, especially by people who don't really understand what these are.

I have an old co-worker who spent a lot of time working with large excel spreadhseets, using some formulas, sorting it to look for things, etc.

He lists "data mining" on his linkedin, and has a ton of people who endorsed him for it.

This became a little off topic, but I hate how venture capital, grant funds, the media, and misinformed people completely butcher these topics.

This looks interesting. Coincidentally I was just searching around for something like this to run in the browser.

I'll play around with it myself, but is there anyone who has used this that knows how well it does with memory usage?

This sums it up nicely:

http://encosia.com/3-reasons-why-you-should-let-google-host-...

I always get mackeeper popups when I'm on porn sites.

What experience is she going to get by working on a product that never even makes it to market? Don't try and tell me they spent $10M knowing full well that the idea was physically impossible. That's BS and you know it.

Many entrepreneurs today seem to think they've made it because they secured large investments from VCs. Very few know what it takes to actually become profitable, reach liquidity, and create real value.

what the hell am I reading?

It's kind of cool from the video, but honestly I lost interest half way through. I'm not sure if it solves an existing problem or would appeal to the mass market though.

I guess when you have cash that needs to be spent, you do stuff like this? I can't imagine this is the best innovation HP can come up with.

I think if you're truly (1) confident about your knowledge or mastery of a particular topic and (2) actually are knowledgeable, you don't have trouble admitting things you don't know.

Here's what I really hate though. When you are around multiple people who are the type to claim knowledge about things they truly have no idea about.

For example in social situations or work situations and you have multiple of these types around. When a conversation comes up and the knowledge of the people involved is put to the test. Maybe your boss is asking who knows how to perform a certain task, or who has experience with certain hardware or software, etc. Or maybe a friend is asking what is the best TV they should buy, etc. There's the people who claim to know about topics XYZ when they really don't, and you, naturally, admit that you don't know. But you might still be the most knowledgeable person about the general topic, and best candidate to offer advice or take on said task. Doesn't matter, you get labeled as the uninformed person while the "idiot" who claims to know everything about XYZ appears to be knowledgable expert. And worst case scenario is when your boss, co-workers, friends, etc. are dumb enough not to catch it.

If the Cartels have such a hole on media down there, then how did such a detailed account of this story get out?

Cross validation for time series, goes something like this:

http://robjhyndman.com/hyndsight/crossvalidation/

(near bottom of the article)

Anyways, as somebody who has spent GIANT amounts of time experimenting with machine learning using market data (mainly stocks), I can give you TONS algorithms I've created that would show similar, even much higher, gains when you only test on 6 weeks of data. Been there done that. For example 6 weeks you make a 100% return, then in the next 3 weeks you suffer a 50% loss. Reality sets in...

Agreed. According to the paper: They trained the data, once, with 3-4 months of data from Feb to May. Then they tested the data, once, with ~6 weeks of data from May 6 - June 24.

There was no cross validation involved in assessing the performance of this model. Using one subset for training, and one subset for testing and calling that conclusive is naive.

No interesting conclusions can be taken away from this paper due to flawed methodology and failure to take into account real world variables like bid-ask spread, commissions, how quickly trades can be executed, whether orders will even be filled, etc.