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Eye Deep : Detecting Diabetes with Convolutional Networks on kaggle.com

Symbol & Key

Wednesday, 2 December 2015 from 19:00 to 21:30 (HKT)

Eye Deep : Detecting Diabetes with Convolutional...

Ticket Information

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RSVP Ended Free  

Share Eye Deep : Detecting Diabetes with Convolutional Networks on kaggle.com

Event Details

Eye Deep : Detecting Diabetes with Convolutional Networks on kaggle.com

Mathis Antony is a Master on Kaggle, a platform for predictive analytics competitions where some of the world’s best data scientists compete. Mathis recently placed 2nd in the challenge to identify signs of diabetic retinopathy in eye images. At the upcoming Symbol & Key event he will discuss Convolutional Networks and share how they secured his place on the podium.


Schedule 

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19:00 - 19:15 : Data Science Community Welcome
19:15 - 20:15 : "Eye Deep", talk by Mathis Antony, AI Engineer at Ambi Labs
20:15 - 20:30 : Q & A with Mathis Antony
20:30 - 21:30 : Social hour, drinks provided.

 

Speaker Bio 

Mathis Antony.

Location

NOT 33 Des Voeux Road Central

Garage Society
19F, 299 Queen’s Road Central,
Hong Kong, Hong Kong 

Symbol & Key

Symbol & Key is a series of talks organised to support exchanges and foster connections in Hong Kong’s Data Science community. The talks are entry-level, but at the vanguard of the discipline, so it should be accessible to aspiring data scientists and experts alike.

Venue Sponsor

Drinks Sponsor

Terms & Conditions

As part of our sponsorship arrangement, the venue sponsor has the option to add you to their mailing list. To opt out, please let us know at contact@datascience.hk.

Do you have questions about Eye Deep : Detecting Diabetes with Convolutional Networks on kaggle.com? Contact Symbol & Key

When & Where


Garage Society, 19F,
299 Queen's Road Central,
Sheung Wan, Hong Kong

Hong Kong SAR China

Wednesday, 2 December 2015 from 19:00 to 21:30 (HKT)


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Organiser

Symbol & Key

Symbol & Key is a series of talks organised to support exchanges and foster connections in Hong Kong's Data Science community. The talks are entry-level, but at the vanguard of the discipline, so it should be accessible to aspiring data scientists and experts alike. 

  Contact the Organiser

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