jordancampbell

6 ms·

1.
by jordancampbell 8y ago
Ha I actually think the complete opposite will be true - Here in New Zealand I got a degree in neuroscience without doing any papers outside of core science, whereas in the US I would probably have to do humanities based courses etc (which
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by jordancampbell 8y ago
This is completely untrue - machine learning is largely undergraduate mathematics - in fact a lot of the linear algebra is commonly taught in high school. Definitely agree it's potentially narrow, but there's absolutely nothing wr
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by jordancampbell 8y ago
And just to clarfiy - it doesn't collect any data that you don't allow. It's also really easy to delete any (and all) associated data after an account has been created.
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by jordancampbell 8y ago
Thanks for your feedback. You're told what 'begin' does when you click begin. The website is simply a demonstration of how face login can be simple and unobtrusive - it's not actually part of the app and is going to be c
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Ask HN: Looking for cofounder for face recognition startup
4 points by jordancampbell 8y ago|3 comments
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by jordancampbell 8y ago
I write all my CLIs in Python. I find that I always need various random things to work together and have always found Python to be the most robust at this. Plus it has pretty much anything you'd need already implemented.
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by jordancampbell 8y ago
This is cool - well done to you. Even more than the money, just having someone tell them that their idea isn't terrible will be a great help.
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by jordancampbell 8y ago
There will be people for whom this literally decides whether or not they start / keep working on a side project - it's a great idea.
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by jordancampbell 8y ago
My gf has lots of problems with various foods and manages to keep on top of it fairly well - although she has very little concrete evidence about what it actually is that is causing the problems. I could see her trialling a comprehensive ($
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by jordancampbell 9y ago
Deep learning is easy and popular - it's just as good a starting point as anything else. No one would argue that linear regression isn't a good starting point, but only because it's not fashionable to dismiss linear regressio
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by jordancampbell 9y ago
I'd highly recommend course.fast.ai - it's focussed on deep learning, but is designed for beginners to get to a production stage.
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by jordancampbell 9y ago
New Zealand is geographically quite large (about the length of France and Spain joined together, and a little bit less wide) and we have half the population of London!
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by jordancampbell 9y ago
It's literally a Ponzi scheme. Where is the money coming from, other than speculation? It barely even hides this fact, given that all its content is about how to generate more content and keep all the wheels turning.
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by jordancampbell 9y ago
It's inferring the depth of all the points on the surface, including those it can't see in the image. This isn't surface rendering, it's depth estimation.
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by jordancampbell 9y ago
No, inputs to each layer are concatenated before being passed through H.
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by jordancampbell 9y ago
This is crazy.
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by jordancampbell 9y ago
I agree - although I think there are three options: 1. Deep learning - therefore any deep learning framework 2. "Classical AI" - use OpenCV for most of it 3. APIs as you mentioned above
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by jordancampbell 9y ago
I second this - the two golden startup fallacies: 1) someone will steal my idea, and 2) I'm going to be overburdened with users.
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by jordancampbell 9y ago
Perhaps use a signup service that allows you to select which users can try your service.
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by jordancampbell 10y ago
I thought it was satire.
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by jordancampbell 10y ago
Words cannot describe how much I disagree with this article.
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by jordancampbell 10y ago
In general you don't actually need crazy precision to train the nets, and a small number of Taylor expansion terms tends to approximate functions fairly well anyway.
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by jordancampbell 10y ago
I was once told by a former Seattle based executive that the best way for a startup to price their product was to take what they thought it should be worth and then add a couple of zeros to the end. There's a school of thought that say
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by jordancampbell 10y ago
I'd also be really interested to learn how you generate synthetic data. Is it a 'simple' case of manually generating as much as possible and then using the statistics of this to bulk it out? Or are you using something more c
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by jordancampbell 10y ago
https://www.codecademy.com/learn/react-101
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Migrants have net positive impact on New Zealand(nzinitiative.org.nz)
29 points by jordancampbell 10y ago|44 comments
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by jordancampbell 10y ago
If you do go to University then most 'analytical' subjects (maths / computer science / engineering) will prepare you well for future work. The most important thing to do is keep asking questions like you are now. Contact
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by jordancampbell 10y ago
Yep! Learning algorithms typically find parameters that relate the input to some output. Genetic algorithms are just a collection of methods that describe how to search through parameter space. Supervised learning algorithms are ones for wh
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by jordancampbell 10y ago
I'm doing a PhD in computer science and use a notebook religiously. I couldn't imagine life without it.