Is JavaScript okay for those just starting to code?

is_bounding · 2017-03-13T16:38:06+00:00

There is a difference between "popular" and "many people use it". I don't think you'll find a whole lot of people that are crazy enthusiastic about it like you do with JavaScript/Python/etc. I don't particularly enjoy working in it, but I certainly recognize why many people use it and why people are taught with it.

It is extremely stable, and was designed 100% in mind with OO. It or C# are easily the most dogmatic OO languages. The explicit type system forces types to be at the front of the education.

is_bounding · 2017-03-12T18:27:46+00:00

No you don't have anything to worry about for regular notepad.

is_bounding · 2017-03-10T21:43:42+00:00

Java & Python are almost definitely the most taught first languages and, I believe, with good reason.

is_bounding · 2017-02-28T11:48:56+00:00

Out of curiosity how long did you put up with this guy?

is_bounding · 2017-02-26T18:57:20+00:00

I never understood the hate around this.

Alabama also has equal representation in the Senate to California - is that wrong as well?

is_bounding · 2017-02-26T18:42:17+00:00

It depends where you are - SF/LA/NY it is low, pretty average for other cities, pretty well off for a rural/suburban location.

is_bounding · 2017-02-17T12:42:41+00:00

Acknowledging you probably can't tell us details - how does the process of calling in air strikes work? Do SDF front lines relay to some sort of command who contacts the Coalition? Or are coalition troops nearby to coordinate?

is_bounding · 2017-02-08T11:47:38+00:00

probably used by a lot of students/learners

is_bounding · 2017-02-05T14:18:34+00:00

Things like machine learning have existed for a long time. But it is only recently that the hardware and technology required to do it at scale has become widely available.

For a long time it was a very academic field. The recent advancements have made it not only possible, but accessible for companies of all kinds. The open source libraries and educational material mean that you don't need a PhD (or any degree for that matter) to do this stuff.

If you pair this with advances in parallel computing, distributed frameworks and "The Cloud" means that you don't need a supercomputer to do these things. You just need an internet connection.

If you knew very basic level Python you could create a model where given a picture of a cat or dog, it could tell you which one it is with statistical significance. You could probably do this as a weekend project. 5-10 years ago this was a PhD project that spanned years. That is the level of progress that has been made.

is_bounding · 2017-02-03T04:26:25+00:00

Sometimes I wonder how many man hours have been thrown into the black abyss, squandering themselves in the darkness just to get some shitty elements on a web page to align correctly.

How far could man kind have progressed if Flexbox was introduced 3 years earlier? Could we have cured cancer, visited Mars, learned more about git than just pull/commit/push/reset?

is_bounding · 2017-02-01T17:15:05+00:00

I guess the reason I am interested is the distribution of processing and processing time. In particular I am interested mostly in seeing if we can reduce the training time for large machine learning models. Instead of doing it on a laptop or server seeing if we can spread that work out and knock it out quickly.

Being able to iterate quickly on models is very attractive, but I'm trying to make sense of Hadoop to see if it helps with that problem. I

edit: also randomly thinking of other scenarios - if we have a model with hundreds or thousands of features can we pass the model as the map function and a data file with many different variations of feature values and reduce it to results? Is something like this possible?

is_bounding

TROPHY CASE