choxi

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by choxi 10y ago
The FEC will release a summary report, but I don't believe it has the granularity of data you're looking for. Here's the 2012 version: http://www.fec.gov/pubrec/fe2012/federalelections2012.shtml
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by choxi 10y ago
From what I understand, the current bottlenecks for machine learning are: - The lack of good data. Machine learning and DNN's specifically perform best with large datasets, that are also labeled. Google has open sourced some, but they
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by choxi 10y ago
What can we do about it? I like Voteplz because it demonstrates that tech can solve political problems too (i.e. not enough young potential voters turn up to vote -> let's make it easier for them to vote). As someone who has a veste
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by choxi 10y ago
Really? Curriculum decided by government committees sounds so much worse. University computer science curricula lags behind industry by at least five years, a sizable portion of coding bootcamp students are actually CS grads because they co
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by choxi 10y ago
You're right that LXC containers have a similar API compared to Docker, but I think developers often underestimate the benefit of the community around a certain technology. Docker has significantly better documentation, extensions, pac
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by choxi 10y ago
I think specifically Deep Learning is where all the magic is. The rest of machine learning (SVMs, clustering, decision trees, etc.) are all old methods that were invented in the 90's or earlier, recent lifts in data storage and comput
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by choxi 10y ago
You're correct in a way, you can think of neural nets "remembering" the data set they're trained on. Recurrent neural nets even explicitly have a "feedback loop" like you're referring to that allows them t
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by choxi 10y ago
A lot of the datasets behind the big image recognition and reinforcement learning (especially recently) have been open sourced: - https://research.googleblog.com/2016/09/announcing-youtube-8... - https:/&#
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by choxi 10y ago
I agree, but the tension is healthy. HN wouldn't work if everyone was overwhelmingly positive or overwhelmingly negative. We need skeptics as much as we need optimists to keep our sense of reality in check. The 90's Dotcom Bubble
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by choxi 10y ago
I'm curious -- what would you ask him?
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by choxi 10y ago
Bloc ( https://www.bloc.io/ ) Position: Mentor (Full-Time, Part-Time) Location: Remote Application: https://jobs.lever.co/bloc/94dc0b93-6c9a-44d4-b013-39b584d38... Bloc is a mentor-led online bootcamp fo
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by choxi 10y ago
You might be interested in our program: https://www.bloc.io/software-engineering-track Our goal was to build a program that combined the pragmatic skills training of a developer bootcamp with the foundation and theory of a
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by choxi 10y ago
The interesting question to me is: is that hard-coded or learned?
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by choxi 10y ago
To make it even more complicated, most companies might not even know what they need. The classic example is algorithms: many companies will say they care about algorithms, but few of them actually need those skills.
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by choxi 10y ago
Bloc ( https://bloc.io/ ) Position: Mentor (Full-Time, Part-Time) Location: Remote Application: https://jobs.lever.co/bloc/94dc0b93-6c9a-44d4-b013-39b584d38... Bloc is a mentor-led online bootcamp for as
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by choxi 10y ago
https://medium.com/@choxi/uber-s-dominant-fundraising-strate...
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by choxi 11y ago
I completely agree, and I'm glad someone's on this thread reminding everyone about the terrible state that social science research is in. Human beings are complicated and difficult to study, so I can appreciate the challenge that
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by choxi 11y ago
I notice this sometimes too. I think another example is "burnout" and "learned helplessness" [1]. Whenever I see another article on HN trying to understand what burnout is, I feel like we're rediscovering something
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by choxi 11y ago
One of our students at Bloc was on active duty in Qatar while learning Ruby on Rails from us. It's interesting to see the new lifestyles and opportunities that are created when accessibility is unlocked by the Internet.
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by choxi 11y ago
Hey, I'm the author here. Any feedback is welcome!
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What Startups Can Learn from the Airline Industry(medium.com)
2 points by choxi 11y ago|1 comments
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by choxi 11y ago
I'm excited for this idea to hit the mainstream, it's compelling enough to warrant a public discussion.
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by choxi 11y ago
We don't have any plans to, a well designed online program can be better than an offline program. It has different challenges, but also some unique strengths, i.e. - We can scale 1-on-1 instructor to student ratios. Tech allows us to h
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by choxi 11y ago
There's a debate amongst economists about whether the value of college comes in the form of human capital versus signaling. What you're describing is sort of the signaling theory, i.e. colleges mostly function as a sieve to help e
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by choxi 11y ago
I'm the cofounder of an online coding bootcamp called Bloc, I actually agree with the gist of what you're saying but it's a little more nuanced than that. Even in medicine, you have many different types of degrees and certifi
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by choxi 11y ago
I agree that learning habits are important for effective education, but online programs can help students develop those habits better and more consistently than in-person programs can. For example, online programs are much more conducive to
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by choxi 11y ago
Hi all, I'm the author of this contributed article. TechCrunch wouldn't let us discuss our own company in the article, but at Bloc ( https://bloc.io ) we've been working on this category of problems for the last fou
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by choxi 11y ago
Hi all, I'm the author of this contributed post. TechCrunch wouldn't let us mention our own company, but we've been putting these concepts into practice at Bloc for the last four years if anyone has questions or comments.
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by choxi 11y ago
From social media apps to "full stack startups"[1] resonates with my sense of the current trends. Why are full stack startups emerging now as opposed to a decade earlier or later? Was social media consolidation a necessary founda
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by choxi 11y ago
I believe everyone should have a growth mindset, but the paper from Dweck is popularized and interpreted a little too loosely. The stricter interpretation is less compelling: In the Bloody Obvious Position, someone can believe success is 9

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