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What Follows : Striking Gold with Time Series Analysis

Symbol & Key

Thursday, 5 November 2015 from 19:00 to 21:30 (HKT)

What Follows : Striking Gold with Time Series Analysis

Ticket Information

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RSVP Ended Free  

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Event Details

What Follows : Striking Gold with Time Series Analysis

Cassio will give an overview of time series analysis, covering what makes temporal data different. Most of the talk will focus on the problem of figuring out what comes next: time series prediction. Usual techniques, tips and pitfalls will be presented, and we’ll also take a look at some real life examples from science, finance, and music.

Schedule 

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19:00 - 19:15 : Data Science Community Welcome
19:15 - 20:15 : "What Follows", talk by Cassio Pennachin, CTO at Aidyia
20:15 - 20:30 : Q & A with Cassio Pennachin
20:30 - 21:30 : Social hour, light refreshments provided.

 

Speaker Bio 

Cassio has been working with data science since before there was a name for it. He’s worked in applications in artificial intelligence, finance, bioinformatics and a number of other domains. Cassio has a Computer Science background and a MBA, and is a repeat PhD dropout. Currently he’s CTO at Aidyia, an artificial intelligence-driven financial prediction company.

Location

NOT 299 Queen Road Central 

Garage Society
9F, 33 Des Voeux Road,
Central, 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

Do you have questions about What Follows : Striking Gold with Time Series Analysis? Contact Symbol & Key

When & Where


Garage Society, 9F,
33 Des Voeux Road
Central, Hong Kong

Hong Kong SAR China

Thursday, 5 November 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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