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21st Century C: Error 64 on OSX When Using Make

转载自:http://randyzwitch.com/21st-century-c-error-64-osx/

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发表于 2015-12-31

To end 2015, I decided to finally learn C, instead of making it a 2016 resolution! I had previously done the ‘Learn C The Hard Way’ tutorials, taken about a year off, and thus forgotten everything.

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Our R package roundup

转载自:http://opiateforthemass.es/articles/R-packages-in-2015/

Christoph Safferling


发表于 2015-12-30

It’s the time of the year again where one eats too much, and gets in a reflective mood! 2015 is nearly over, and us bloggers here at opiateforthemass.es thought it would be nice to argue endlessly which R package was the best/neatest/most fun/most useful/most whatever in this year!

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Managing managed libraries with Scala and Eclipse

转载自:http://brooksandrew.github.io/simpleblog/articles/managing-managed-dependencies-with-scala-and-eclipse/

andrew brooks (andrewbrooksct@gmail.com)


发表于 2015-12-29

My story [skip for the real answer]

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Agnez, analytics for deep learning research

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

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发表于 2015-12-24

Machine learning is about writing programs with parameters that are learned from data. But writing the base architecture that will be learned requires intuition, inspection, trial, and error, all elements that can be enhanced with high quality visualization and analytics tools.

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March journal club

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

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发表于 2015-12-24

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Set up Sublime Text for light-weight all-in-one data science IDE

转载自:http://opiateforthemass.es/articles/set-up-sublime-text-for-light-weight-all-in-one-data-science-ide/

Yuki Katoh (yukiegosapporo@gmail.com)


发表于 2015-12-23

Sublime Text is a powerful text editor. Here I introduce how to add custom REPL config for remote/local R, Python, Scala, Spark, Hive, you name it (this is only tested for OS X).The example below interprets local Python (top), R (middle) and Hive (bottom) code on remote.

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Who are the best MMA fighters of all time. A Bayesian study

转载自:http://blog.datadive.net/who-are-the-best-mma-fighters-of-all-time-a-bayesian-study/

ando


发表于 2015-12-22

Like with any sport, the question of who are the best competitors of all time in Mixed Martial Arts (MMA) is something that is hotly debated among MMA fans. And unlike for tournament based sports such as tennis, or sports where results can be objectively measured such as track and field, it is a question that is much more difficult to answer in MMA. Firstly, fighters compete in different weight classes and organizations, often making direct comparison impossible. Secondly, even when competitors are in the same weight class in the same organization, comparison can be difficult simply because of the relatively low number of matches that an average competitor has – not everyone is competing against everyone else. All of this leavies a lot of room for speculation and what-if scenarios. Indeed, any ranking of fighter’s skills is highly subjective, dependant on the criterias set forth and as a consequence highly debatable.

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A Seasonal Test of AI

转载自:http://inverseprobability.com/2015/12/21/computer-christmas-gift

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发表于 2015-12-21

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Podcast Available on Stitcher

转载自:https://www.becomingadatascientist.com/2015/12/21/podcast-available-on-stitcher/

Renee


发表于 2015-12-21

The Becoming a Data Scientist Podcast is now available via Stitcher! Subscribe in the app, or listen online:If you have another podcast app, you can subscribe by entering the RSS feed link: https://www.becomingadatascientist.com/feed/podcast

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Becoming A Data Scientist Podcast Episode 01: Will Kurt

转载自:https://www.becomingadatascientist.com/2015/12/21/becoming-a-data-scientist-podcast-episode-01-will-kurt/

Renee


发表于 2015-12-21

Note: The video is the interview only. The audio podcast has the intro, interview, and data science learning club activity explanation.

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