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SF Hacker News Presents: Machine Learning for Hackers

Dan Gailey

Thursday, February 27, 2014 from 6:00 PM to 8:30 PM (PST)

San Francisco, CA

SF Hacker News Presents: Machine Learning for Hackers

Ticket Information

Ticket Type Sales End Price Fee Quantity
Reserved Seat: Guaranteed Admission Ended $5.00 $1.27
First-Come/First-Served General Admission
We can't guarantee entrance with these tickets because attendance is limited to 50. Please purchase Reserved tickets for guaranteed admission.
Ended $0.00 $0.00

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Event Details

  • Join us for a talk on machine learning for hackers. This is an exclusive event, limited to just 50 hackers. Please see details on reserving your space below.

  • Want to stay on the cutting-edge? You'll want to reserve your spot to this month's event. Adam Gibson will be sharing his machine learning expertise with us at Engine Yard. He will present to us the basics, dispel common misconceptions, and give us a taste of what he teaches now as an instructor and founder of Blix.io (among many other products and companies). 

  • Please note that the space is limited and this is an exclusive talk. As such, we unfortunately must limit admission. Here's the good news! You can reserve a spot for just $5.00 and that money will go toward us putting on even better events in the future (we're talkin' swag T-shirts and cheese fondue bars, people).

Details:
6:00-6:45: Mingle, network
6:45-7:45: Presentation from Adam and audience Q&A
7:45-8:30: Network, Adam will stay after to answer any burning questions you may have.
  • Food and drinks are provided

Food and drinks will be sponsored by the lovely, friendly folks at Engine Yard. 

engine yard logo

Have questions about SF Hacker News Presents: Machine Learning for Hackers? Contact Dan Gailey

When & Where



Engine Yard, Inc
500 3rd St
#510
San Francisco, CA 94107

Thursday, February 27, 2014 from 6:00 PM to 8:30 PM (PST)


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Organizer

Dan Gailey

I love engineering, community, sci-fi, dreaming up the future, and Tiramisù. Maybe not in that order.

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