benhamner

10 ms·

61.
Apple Buys AI Company Turi (Dato, Graphlab) for $200m(recode.net)
3 points by benhamner 10y ago|0 comments
62.
by benhamner 10y ago
The edge is almost never the choice of model architecture. It's very common knowledge now that deep neural networks and gradient boosted machines are incredibly effective at different problem classes, and that ensembling almost always
63.
by benhamner 10y ago
Are you in a position to share a raw, granular form of the data (potentially with more anonymization)?
64.
by benhamner 10y ago
Agree! Down the road, Kaggle will be the Kaggle for RL algorithms ;) This provides a really cool open source environment to build on
65.
by benhamner 11y ago
In a similar vein, Kaggle datasets enables you to run Python, R, Julia, and SQL on many public datasets https://www.kaggle.com/datasets
66.
by benhamner 11y ago
Can you send an introduction and a sample of the data? I'm interested in publishing it on Kaggle (b at kaggle . com)
67.
by benhamner 11y ago
How much traffic per day does hacker news typically get?
68.
by benhamner 11y ago
It's surprising just how silent GitHub is on these issues. Most of their engineers probably read Hacker News, yet none of them respond.
69.
It's tough to access, analyze and discuss interesting data. We want to change this(blog.kaggle.com)
8 points by benhamner 11y ago|0 comments
70.
Introducing Kaggle Datasets, a home for high quality public data(blog.kaggle.com)
7 points by benhamner 11y ago|0 comments
71.
Kaggle's annual holiday optimization competition: Santa's Stolen Sleigh(kaggle.com)
6 points by benhamner 11y ago|0 comments
72.
Unsupervised Rep. Learning with Deep Convolutional Generative Advers. Nets(arxiv.org)
2 points by benhamner 11y ago|0 comments
73.
How Climate Corporation Structures Their Data Workflows(blog.kaggle.com)
2 points by benhamner 11y ago|0 comments
74.
by benhamner 11y ago
One interesting piece of this: it looks like Github turned over IP traffic logs for who accessed that page of Uber's Github repo to Uber.
75.
by benhamner 11y ago
Have you used R? As both a heavy R user and a software engineer, I can promise you that one of the quintessential aspects of R is it's actually "written by statisticians, for statisticians." You can't accuse R of having
76.
Did you use an external recruiter to get your SF Bay Area engineering role?(docs.google.com)
1 points by benhamner 11y ago|0 comments
77.
by benhamner 11y ago
This could potentially be explained by the amount of time non-gamers spend on mobile devices increasing dramatically relative to gamers. This explanation could make sense: gamers tend to be early adopters of new technologies (including mobi
78.
by benhamner 11y ago
The surprising thing here is that the NYTimes left out a graph and a direct link to source data in this article.
79.
by benhamner 11y ago
Looking at Palantir only as a software company is incredibly misleading. They sell high-ticket custom solutions to massive organizations that they leverage many of their internal software tools and libraries to build. This involves large am
80.
by benhamner 11y ago
A more accurate title: Youtube's Facebook Piracy Problem
81.
Learning to Transduce with Unbounded Memory (Google DeepMind) [pdf](arxiv.org)
1 points by benhamner 11y ago|0 comments
82.
by benhamner 11y ago
Beautiful! Appears inspired by RStudio's Shiny http://shiny.rstudio.com/
83.
by benhamner 11y ago
I don't work for Airbnb, but most top notch engineering organizations I know have far more unsolved problems than solved problems. Each additional magnitude of scale also brings a new wave of engineering challenges and opportunities. I
84.
by benhamner 11y ago
Random Forests are great on many tasks, but this analysis is incredibly biased: it only includes the incredibly small and simple datasets in the UCI repository. Many real world tasks are far more complex than that, especially those involvin
85.
Uber Burning $750M a year(davidcummings.org)
2 points by benhamner 11y ago|0 comments
86.
by benhamner 11y ago
You hit the nail on the head. Completely agrees with all my experience at Kaggle and applying machine learning across a broad number of industries
87.
by benhamner 12y ago
This is flat out wrong. It disagrees with every other data point I have, so I'm very skeptical with both the methodology (which is opaque) and the conclusion. From all of my experience at Kaggle (we run machine learning competitions),
88.
by benhamner 12y ago
NOW WE KNOW how the self-driving cars work!
89.
by benhamner 12y ago
We hosted a smaller scale version of this on Kaggle with Merck several years ago: https://www.kaggle.com/c/MerckActivity It's great to see that competition's result both supported and extended!
90.
4 time/location points uniquely identifies 90% of people in credit card logs(sciencemag.org)
1 points by benhamner 12y ago|0 comments

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