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Micah Lanier

@lanier

Data guy at Jump. Alumnus, @UWMadison, @HarvardHBS, @HSEAS, @NYTimes. Bringing together business, data, and technology.

 Boston
lanier.io/
Joined July 2008
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Photo by Micah Lanier (@lanier)Photo by Micah Lanier (@lanier)Photo by Micah Lanier (@lanier)Photo by Micah Lanier (@lanier)Photo by Micah Lanier (@lanier)Photo by Micah Lanier (@lanier)Photo by Micah Lanier (@lanier)Photo by Micah Lanier (@lanier)Photo by Micah Lanier (@lanier)Photo by Micah Lanier (@lanier)
Published a #d3js #viz of world trade: micahlanier.github.io/world-…. Love how the chords/transitions turned out. #dataviz
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Micah Lanier retweeted
John Lewis (@repjohnlewis) profile picture
John Lewis
@repjohnlewis19 Jul 2015
Even though I was arrested, I smiled bc I was on the right side of history. Find a way to get in the way #goodtrouble
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Packed house at #tech21hbs for @jrochelle’s opening keynote.
Image from The Tech Conference @ Harvard Business School (@TechConfHBS)
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.@priceonomics on @nytimes Facebook post popularity: priceonomics.com/what-new-yo…. Would be cool to see clicks per share+like via @bitly API.
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Really slick @nytimes tool for boosting social media engagement via #machinelearning: nie.mn/1Mm7khP
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Thoughtful insights on algorithmic fairness and bias in #MachineLearning: nyti.ms/1IEqScy
Algorithms and Bias: Q. and A. With Cynthia Dwork (Published 2015)

Algorithms and Bias: Q. and A. With Cynthia Dwork (Published 2015)

Preventing discriminatory algorithms is an issue being taken up by computer scientists as well as policy makers, ethicists and legal experts.

nytimes.com
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As an engineer and technologist, I constantly draw upon my #liberalarts experience in my work: onforb.es/1OBHNQK
@_rsamuelson Aha! Looks pretty sophisticated—far more breadth than I would have expected given the time. Thanks for passing along.
State of #DataScience bootcamps: nyti.ms/1LTpZTI. Curious to know how curricula mix theoretical and strictly “practical” skills.
As Tech Booms, Workers Turn to Coding for Career Change (Published 2015)

As Tech Booms, Workers Turn to Coding for Career Change (Published 2015)

Schools that offer accelerated training in digital skills are drawing more and more “career changers,” and graduates can make six-figure base salaries.

nytimes.com
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Really slick interactive visual introduction to #MachineLearning: r2d3.us/visual-intro-to-mach…. Can't wait to see what's in store for part 2!
A bit rambling, but good reasons for healthy skepticism about #BigData. geekwire.com/2015/author-mal…
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Skeptical of connection to human thought, but an interesting look at ascendancy of #DeepLearning: recode.net/2015/07/15/ai-con… #MachineLearning
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Tradeoffs of password sharing: variety.com/2015/digital/new…. Wonder how many would actually pay up if access restricted.
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Without opining on everything going on at @reddit, I doubt that this will go smoothly: reddit.com/r/announcements/c…
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.@HarvardBiz on @Amazon Prime: hbr.org/2015/07/the-logic-be…. Would enjoy analysis of how Prime might turn low volume customers turn into “Whales.”

The Logic Behind Amazon’s Prime Day

The retail behemoth can no longer rely on only high-volume customers.

hbr.org
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Minor quibbles aside, an excellent #MachineLearning overview for managers in @HarvardBiz: hbr.org/2015/07/what-every-m…
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Insightful thoughts on mythical "objectivity in #MachineLearning: nytimes.com/2015/07/10/upsho…
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Just started on #TheMartian. Unsurprised the main character is a @UChicago alum. (In a good way!)
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Fun way to illustrate a complex idea: nyti.ms/1FUuLaE. Sad to say I couldn't figure out the rule. (via @UpshotNYT)
Keen thoughts on the future of #webdesign: medium.com/@jowitaziobro/7-f…. @Medium is a very fitting place to share.
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Finished up @edXOnline's @ApacheSpark MOOC. Didn't find the "Big Data" lecture component that useful but the labs were a great #Spark intro.
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