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Reynold Xin
1,191 followers -
Computer Science PhD student at UC Berkeley
Computer Science PhD student at UC Berkeley

1,191 followers
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Hey everyone,Here is the Shenzhen Map for makers!Not an easy job.But we did it finally!

Project introduction:
Shenzhen is known as the Hollywood of Makers. And Huaqiangbei is a must-go place for visitors to Shenzhen. However, it's not easy for visitors to find the related factories in Shenzhen. Huaqiangbei is like a huge maze to many. That's why we make this Shenzhen Map for Makers, in the hope of helping you fully experience Shenzhen in a very short time. 
It is made up of 2 main parts. One is the general information about the maker-related factories in different areas in Shenzhen and the cities near Shenzhen. The other is map of Huaqiangbei, including the featured products in different buildings and the peripheral information such as traffic, diners, shopping centers, accommodations etc.
This is the 1st version, and we'd love to improve and update it constantly. So it is open source also.We create this wiki page(Will release it soon), hoping makers who are interested in this project add your recommendations, suggestions, share your ideas to make it better. 
We love this community : )
Oh right!!
We will release the downloadable PDF file soon AND!! free to download : )
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At Scala Days 2013, a presentation on using Scala for machine learning mentioned +Michael Armbrust's Avro Scala plugin!
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This is really impressive, Kinect-like gesture recognition using just the subtle changes to WiFi signals from your motion.

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https://blogs.oracle.com/jrose/entry/fixnums_in_the_vm

A good way to increase Java's generic collection library's efficiency (for both cpu and memory footprint). Unfortunately, after 5 years, the ticket is still open.

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This is pretty cool.
A counter-intuitive manifestation of a zero-one law: according to computer models. everyone who was alive in 1000BCE is either an ancestor of everyone alive today, or else an ancestor of nobody alive today (including people in extremely remote and isolated communities).  

This seems unbelievable until you realise that with each generation, anyone who is a descendant of the original person will propagate that property to slightly more than two people in the next generation on average.  This birth-death process either extinguishes early on, or else ignites and grows exponentially until it covers most of the world's population after a couple dozen generations; and then all the isolated holdouts eventually get "infected" through one or two migrants.  Geographical or cultural barriers can create bottlenecks for a few generations, but they don't last long (especially once the set of descendants has blown out into the millions).
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Had fun writing this new #strataconf post on GraphLab, GraphX, & more: Improving options for unlocking your graph data http://goo.gl/NH5G7

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