shoemai

6 ms·

1.
by shoemai 10y ago
50k to 100k median doesn't seem too far fetched to me. Myself and many people I know were in that range.
2.
by shoemai 10y ago
I think this is a popular opinion that's just not realistic. There is a >0% of the population (much greater IMO) that is more productive learning in a structured environment. For those people there is an amount >0$ that they woul
3.
by shoemai 10y ago
I feel like it's very easy to fudge the numbers just due to all the different factors involved. Would student reviews be a better way to evaluate bootcamps? I know I've seen some bootcamps on yelp with reviews. This seems like it
4.
by shoemai 10y ago
> the issue is that it is both very difficult to measure, track and maintain data and it varies wildly. Also went to a bootcamp and I agree with this. I think the variance in ability between students is greater than the variance between
5.
by shoemai 10y ago
Do you find that every student wants to be a full time developer though? What if the student were fully capable of finding a job as a developer but that's not what they wanted to do? Or maybe they were just open to many possibilities.
6.
by shoemai 10y ago
It's odd that nobody that's responded to you so far has pointed out that your comment is totally irrelevant to the comment you're responding to. Nowhere does GP imply that OP implies that you should render every state change
7.
by shoemai 10y ago
If I'm on reddit and had to reload the page for every upvote/downvote, comment expand/collapse, show more comments, and reply the ux would be significantly worse. And thats not even a site that has that much user interaction.
8.
by shoemai 10y ago
Basically each input gets multiplied by some weight that gets adjusted through each iteration. The product of the input and weight gets put through an activation function, and the outcome of that can be interpreted as the network's pre
9.
by shoemai 10y ago
Super basic explanation: It's training a neural network to classify a data set with two classes (orange or blue) and the data has two features (x1 or x2). All the orange and blue dots are the training data. So if you take a dot on the