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Details

This will be a regular meetup (beer+pizza) at AHL like last month.

Note: Please use your full real names where signing up, otherwise we have problems with building security.

Our main speakers will be:

Stephen Whitworth: (https://twitter.com/sjwhitworth) “Building real time machine learning products to fight fraud

Abstract: We stand on the shoulder of giants when it comes to using the latest and greatest machine learning libraries. However, not much is said about how to deploy and monitor your beautiful model when it's out in production. I want to talk about the successes and potential perils of building real time machine learning solutions, discuss machine learning in general for the non-technical (if you think this is necessary Ian), and discuss the architecture and approach we've taken at Ravelin”

Maciej Kula: (https://www.linkedin.com/pub/maciej-kula/47/831/572) “The advantages of hybrid (content + collaborative) recommender systems”

With Lightning talks:

• Deep learning by Eddie

• Testing Without Writing Tests Víctor Muñoz

Doors open at 6.30 (get there early as you have to sign-in via AHL's security), talks start at 7pm, beers from 9pm in the bar. We normally have 200 folk in the room so there's plenty of people to discuss data science questions with!

Please remember to unRSVP if you realise you can't make it, we're limited by Security on the numbers so we need you to free up your place if you're not able to attend.

And make sure you follow @pydatalondon (https://twitter.com/pydatalondon) for any updates and early announcements. See you on the 1st at AHL!