jph00

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by jph00 14y ago
Thanks for the interest in my tutorial! I only started with AngularJS a month ago while I was on vacation. I tried a few of the newer JS MVC frameworks, but had no idea how special Angular is until I got in to it. Its ability to add feature
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by jph00 14y ago
> a lot of these tools have tutorials that don't really walk me through all of what I want to do, which initially involves a fairly straightforward "CRUD" type of application As it happens, I just completed a 4 part tutorial building an
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by jph00 14y ago
Yes, that is what we see.
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by jph00 14y ago
That certainly does happen - indeed our tag line is "making data science a sport"... Like in all sports, there can be a stochastic element to who ends up winning! However, in private competitions (which is where the money is!) everyone sele
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by jph00 14y ago
Yes, we can calculate the distribution and find the likelihood that a given team would beat another if the data is resampled. Here's a detailed example: http://www.tiberius.biz/pakdd07.html The size of improvements seen in competitions vs
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by jph00 14y ago
Excellent point. This is called "data leakage". Analysis of this topic won the 2011 KDD best paper award: http://staging.m6d.com/wp-content/uploads/research_Leakage-i...
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by jph00 14y ago
Good question. Most winners use only laptops with R or Python (Matlab is also popular). Feature engineering and common sense is definitely more important than computational resources.
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by jph00 14y ago
That's a very insightful connection you've made. Both approaches can be considered "ensembles of weak learners". However the wisdom of the crowds is more likely to suffer from systematic bias, which can be a drawback of that approach.
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by jph00 14y ago
I think that is at least as mid-leading. For instance, in a competition to create an algorithm to automatically grade student essays, fourteen amateur teams who had never worked in the field beat all eleven essay-grading specialist companie
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by jph00 14y ago
I'm the Kaggle President & Chief Scientist that is interviewed in this article. Feel free to ask me any questions that you have about the role of domain experts in data -driven decision making (or any other relevant topic!) (It didn't o
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by jph00 15y ago
I'm from Kaggle. We'd be happy to help you anonymize your data and create and run one or more data mining competitions for free. Ping us through www.kaggle.com if you're interested. Might be a good way to get started with deep data science,
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by jph00 15y ago
Definitely outsource this. I wrote this post comparing prices for some service providers: http://jphoward.wordpress.com/2011/11/08/40month-to-send-my-... . The cheapest (FastMail.FM) is orders of magnitude cheaper. They've been in busines
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by jph00 15y ago
(Disclaimer: I'm the "accidental scientist" profiled in this article.) Yes I've noticed this as well. People are often asking me for my opinion about Big Data, treating it as a synonym for Data Science. Since the journalist at Wired had rec
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Accidental Scientist Hawks ‘Online Marketplace for Brains’(wired.com)
39 points by jph00 15y ago|7 comments
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by jph00 15y ago
You lost your wager. I found it totally confusing, and only understood the meaning after reading the reply that explained the meaning is the opposite of the words. I don't think the issue is whether language prudes are offended, but whether
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by jph00 15y ago
My experience is the opposite. I entered a number of competitions last year. For a data scientist, the opportunity to access clean data sets and interesting real-world problems, as well as to see how your techniques compare to others', is r
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by jph00 16y ago
No, EF is 800ms for 500 queries, not for 1 query. I've not seen EF overhead be a performance hotspot on projects I've been involved with.
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by jph00 16y ago
I majored in philosophy at university. My business partner has a PhD in computer science. When we started working together, we discovered that we had studied many of the same things - Godel's theorem, the halting problem, boolean logic, etc