NOTE: A valid photo ID is required by building security. You MUST use your full real names on your meetup profile, otherwise, you will NOT make it on the guest list!
Tickets are assigned through a lottery draw initially. Waitlist places are assigned manually. We can only admit you if you use your full real names on your meetup profile.
If your RSVP status says "You're going" you will be able to get in. No further confirmation required. You will NOT need to show your RSVP confirmation when signing in.
If you can no longer make it, please unRSVP as soon as you know so we can assign your place to someone on the waiting list.
CODE OF CONDUCT: https://numfocus.org/code-of-conduct
This event follows the NumFOCUS code of conduct, please familiarise yourself with it before the event. Please get in touch with the organisers with any questions or concerns regarding the code of conduct.
As always, there'll be free food & drinks, generously provided by our host, Man.
We are issuing tickets via a lottery - if you want to be in with a chance of a place - sign up for the waitlist! The lottery will be run approx 1 week before the meetup, and we will re-run the lottery to fill any spaces that free up or use the waitlist towards the time of the event.
Zack Akil on “Shooting Hoops with Keras and TensorFlow”
I'll show you how I turned being bad at shootin' b-ball outside of the school into a multi neural network based mobile application that does real time analysis of my limited basketball skills.
Eyal Kazin on "Protein Design by Multi-Objective Optimisation"
When optimising for multiple factors, a common practice is to reduce the problem to 1D, which, because of the limited search space, is likely to result in a suboptimal solution. In Multi-Objective Optimisation we consider a set of trade-off solutions, called the Pareto Front, as the optimal set, and by so explore a multi-dimensional space, where we are more likely to find improved solutions. Motivated by the challenge to empirically navigate the vast DNA combinatorial sequence space to discover therapeutic proteins, I discuss Pareto Front optimisation using Evolutionary Algorithms. In particular, I highlight DEAP, a Python platform for prototyping.
Doors open at 6.30pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We normally have >200 folks in the room so there's plenty of people to discuss data science questions with!
Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members!
Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements.