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Episode #91: Top 10 Data Science Stories of 2016

Published Tues, Dec 27, 2016, recorded Wed, Nov 23, 2016.


It's been an amazing year for Python and Data Science. It's time to look back at the major headlines and take stock in what we've done as a community.

I've teamed up with the Partially Derivative podcast and we're running down the top 10 data science stories of 2016 in this joint episode.

Links from the show:

Top 10 Stories

#1 White House comes out strong on ethics in data: whitehouse.gov
#2 Social bots distort the 2016 U.S. Presidential election online discussion: firstmonday.org
#3 Data science fails at predicting the US election: kdnuggets.com
#4 Google teaches "AIs" to invent their own crypto and avoid eavesdropping: arstechnica.com
#5 The Rise of Deep Learning: medium.com
qz.com
youtube.com
#6 The Digital Mammography DREAM Challenge: synapse.org
#7 Microsoft's Tay: theverge.com
#8 William Stein is leaving academia to start a company around Sage: reddit.com
#9 DeepMind kicks butt at Go: theverge.com
#10 Elon Musk thinks we’re probably living in the Singularity: vox.com

Partially Derivative podcast: partiallyderivative.com
Popily (Jonathon's Company): popily.com

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Jonathon Morgan
Jonathon Morgan
Jonathon is the CEO of Popily, the automatic data startup, a co-host of the Partially Derivative data science podcast, and believes in significant whitespace.


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