Having troubles applying machine learning with real world data? Want to bring your data science skills to the next level? We might have something for you! https://www.godatadriven.com/data-science-accelerator-program

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https://iamtrask.github.io/2016/08/17/grokking-deep-learning/

https://cloud.google.com/blog/big-data/2016/08/new-version-of-cloud-datalab-jupyter-meets-tensorflow-cloud-meets-local-deployment

https://gab41.lab41.org/the-10-algorithms-machine-learning-engineers-need-to-know-f4bb63f5b2fa#.xlqsm0j7j

Having impact as a modern statistician https://speakerdeck.com/jseabold/having-an-impact-as-a-modern-statistician

Long-term forecasting with machine learning models http://thuijskens.github.io/2016/08/03/time-series-forecasting/

iOS first in a tweet http://twitter.com/Split82/status/753889676440788992

@Split82: @pullmytongue About 450K users on ios (about 280K paid) and 450K on android (7K paid).

The reasons you should join the GoDataDriven accelerator program, nicely laid out by me https://www.youtube.com/watch?v=rHhXilXE-2o

Altair: a declarative statistical visualization library for Python, by the awesome Brian Granger and Jake Vanderplas https://github.com/ellisonbg/altair https://github.com/ellisonbg/altair/raw/master/images/cars.png?raw=true

Bag of tricks for efficient text classification: one of the latest papers by the folks at Facebook AI research

http://arxiv.org/abs/1607.01759