evancasey

3 ms·

1.
Spell Open Research Grant: Get $40K of cloud compute for your research(spell.ml)
22 points by evancasey 5y ago|0 comments
2.
by evancasey 10y ago
ICYMI: cardiogram is doing this with the apple/android watch (possibly other devices). they're not using phone sensor data yet to my knowledge though...
3.
by evancasey 11y ago
The list of companies using Druid in production is impressive considering how recently this project emerged. We’re considering using Druid for our production analytics engine at Tapad (tapad.com). A significant portion of our ad-hoc and use
4.
by evancasey 11y ago
Huge spark fan here. Love the execution model, API, supporting libs etc. Unfortunately, Spark doesn't scale well on large datasets (10TB+). Sure, it's possible (and has been done), but right now there are too many rough edges to m
5.
by evancasey 12y ago
Does google maps/citymapper consume this sort of real-time train location data? If not, perhaps you could use the NYC subway REST API to cross reference route calculations
6.
by evancasey 12y ago
Seems like a useful tool that would make doing data analysis on a remote machine much easier than with plain old AWS + anaconda. However, the incremental improvement of renting an EC2 instance (even with 8 cores and 65gb) pales in compariso
7.
by evancasey 12y ago
I did most of my benchmarking with the 10M MovieLens Dataset http://grouplens.org/datasets/movielens/ consisting of 10 million movie ratings on 10,000 movies from 72,000 users. So not necessarily "big data&qu
8.
by evancasey 12y ago
My experience using spark has also been nothing but positive. I recently built a similarity-based recommendation on Spark ( https://github.com/evancasey/sparkler ), and found it to be significantly faster than comparable