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With Alex Tsyplikhin (COO, Data Monsters).
Wed, Dec 20, 2017 @ 06:30 PM   $10   Google Launch Pad, 301 Howard St
 
   
 
 
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LOCATION
EVENT DETAILS
PLEASE READ THE ENTIRE EVENT DESCRIPTION.
There is a cover charge to attend this event.
A "YES" RSVP on our meetup site does not confirm your reservation.
Space is limited. Please only RSVP "Yes" if you will be attending.
Take advantage of early responder pricing!
Slots are limited. First come, first served!
First Responders $9 plus Eventbrite fees
Second Responders $12 plus Eventbrite fees
Third Responders $15 plus Eventbrite fees

In order to attend, you must register & pay via Eventbrite.
Please bring your printed ticket to the event.

The speaker will provide a primer on deep learning for both technical & non-technical entrepreneurs. The following topics will be covered:


1) What is deep learning?
2) What is deep learning capable of & what are the limits of deep learning in terms of technological advancement?
3) How is deep learning related to machine learning & artificial intelligence?
4) How did deep learning originate & progress to it's present state?
5) How does deep learning work?
6) How can deep learning lead to the automation of intellectual & non-intellectual tasks & processes?
7) What are some barriers to entry for deep learning entrepreneurs & how can these barriers to entry be overcome?
and more!

Please come with your questions & comments.

Agenda
6:30 pm to 7:00 pm Check In, Food, Networking
7:00 pm to 8:30 pm Presentation, Q & A
8:30 pm to 9:00 pm More Networking

About the Speaker




Alex Tsyplikhin,PhD, has been working in the area of data science for fifteen years, building consumer & enterprise products. Alex is currently the COO of Data Monsters, a machine intelligence & data engineering consulting & implementation company. Data Monsters is a preferred deep learning partner of NVIDIA, honored to work with Intel & Cisco (seedatamonsters.co).

Alex holds a PhD in Speech Biometrics from MIPT & is passionate about using data to build great products.

If you have questions about the content of this presentation, email Alex at:
alex@datamonsters.co



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