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Keras plays catch, a single file Reinforcement Learning example

转载自:http://edersantana.github.io/articles/keras_rl/

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发表于 2016-03-17

Get started with reinforcement learning in less than 200 lines of code with Keras (Theano or Tensorflow, it’s your choice).

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Large Data with Scikit-learn - Boston Meetup

转载自:https://alexisperrier.com/meetup/2016/03/16/out-of-core-scikit-boston-meetup.html

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发表于 2016-03-16
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Compiling DataFrame code is harder than it looks

转载自:http://wesmckinney.com/blog/compiling-dataframe-code/

Wes McKinney


发表于 2016-03-16

** Wed 16 March 2016

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National Pi Day

转载自:http://datagenetics.com/blog/march22016/index.html

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发表于 2016-03-15
Yesterday was 3/14 (in American data notation), which is National Pi Day.Why March 14th? Well, to two decimal places, Pi is 3.14It’s also Albert Eintsein’s Birthday.
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Diagnosing Heart Diseases with Deep Neural Networks

转载自:http://irakorshunova.github.io/2016/03/15/heart.html

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发表于 2016-03-15

The Second National Data Science Bowl, a data science competition where the goal was to automatically determine cardiac volumes from MRI scans, has just ended. We participated with a team of 4 members from the Data Science lab at Ghent University in Belgium and finished 2nd!

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David MacKay Symposium

转载自:http://inverseprobability.com/2016/03/15/mackay-symposium

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发表于 2016-03-15

Just back from Cambridge where I attended a symposium that was in honour of the work of David MacKay. David was an incredible influence on my thinking and so many others’, it was really impressive to see the diversity of researchers he’s inspired talking about their work.

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Analyzing Golden State Warriors' passing network using GraphFrames in Spark

转载自:http://opiateforthemass.es/articles/analyzing-golden-state-warriors-passing-network-using-graphframes-in-spark/

Yuki Katoh (yukiegosapporo@gmail.com)


发表于 2016-03-15

Databricks recently announced GraphFrames, awesome Spark extension to implement graph processing using DataFrames.I performed graph analysis and visualized beautiful ball movement network of Golden State Warriors using rich data provided by NBA.com’s stats

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Stability as a foundation of machine learning

转载自:http://blog.mrtz.org/2016/03/14/stability.html

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发表于 2016-03-14

Cross-posted at offconvex.org.

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Do average consumers still need Dropbox?

转载自:http://wesmckinney.com/blog/do-average-consumers-still-need-dropbox/

Wes McKinney


发表于 2016-03-13

** Sun 13 March 2016

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Integrating D3.js into R Shiny

转载自:http://myinspirationinformation.com/visualisation/d3-js/integrating-d3-js-into-r-shiny/

James Thomson


发表于 2016-03-13

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